Search results for Information Assurance Development Programming

    Found 343 documents, 10397 searched:

  • Data Science Programming: Python vs R

    …for statistical computing. At DeZyre, our career counsellors often get questions from prospective students as to what should they learn first Python programming or R programming. If you are unsure on which programming language to learn first then you are on the right page. Python and R language…

    https://www.kdnuggets.com/2015/10/data-science-programming-python-vs-r.html

  • How Can Machine Learning Affect Your Organizational Data Strategy?

    ...models and enhance themselves. Both in administered and semi-managed learning forms, the learning calculation needs to depend on the exactness of the information and yield information. In this way, it is essential that the information is spotless, steady, and exact. This is the place authoritative...

    https://www.kdnuggets.com/2017/10/machine-learning-affect-organizational-data-strategy.html

  • Exclusive Interview: Doug Laney on Big Data and Infonomics

    ...to using it to improve top or bottom line results via process improvements. Generating measurable economic benefits from or attributable to available information assets. Managing information as an asset involves applying traditional asset management principles and practices to information. This can...

    https://www.kdnuggets.com/2018/01/exclusive-interview-doug-laney-big-data-infonomics.html

  • Introduction to Functional Programming in Python">Gold BlogIntroduction to Functional Programming in Python

    ...4), ('b', 6), ('a', 10)] comments The Map Function   While the ability to pass in functions as arguments is not unique to Python, it is a recent development in programming languages. Functions that allow for this type of behavior are called first-class functions. Any language that contains...

    https://www.kdnuggets.com/2018/02/introduction-functional-programming-python.html

  • Creating Curious Machines: Building Information-seeking Agents

    ...es, your friends can quickly narrow down the set of viable items until one correctly guesses ‘cat’. This example demonstrates the iterative nature of information seeking: the information currently sought must be intelligently conditioned on the information already acquired. To be effective, an...

    https://www.kdnuggets.com/2017/01/maluuba-creating-curious-machines-information-seeking-agents.html

  • Mathematical programming —  Key Habit to Build Up for Advancing Data Science">Gold BlogMathematical programming —  Key Habit to Build Up for Advancing Data Science

    ...a statistically sound manner.   Summary (and a challenge for the reader)   We demonstrate what it means to develop a habit of mathematical programming. Essentially, it is thinking in terms of programming to test out the mathematical properties or data patterns that you are developing in...

    https://www.kdnuggets.com/2019/05/mathematical-programming-key-habit-advancing-data-science.html

  • Linear Programming and Discrete Optimization with Python using PuLP

    ...were allowed to assume any real number value. Integer programming forces some or all of the variables to assume only integer values. In fact, integer programming is a harder computational problem than linear programming. Integer variables make an optimization problem non-convex, and therefore far...

    https://www.kdnuggets.com/2019/05/linear-programming-discrete-optimization-python-pulp.html

  • 2019 Best Masters in Data Science and Analytics – Europe Edition

    ...ience. Students will have a curiosity about data and will want to learn new techniques to boost their career and be part of exciting current industry developments. The program includes some complex programming tasks because of the applied nature of the course, so many students have a mathematics or...

    https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.html

  • Data Science Data Architecture

    …availability in multiple aspects: The daily business of the data scientists takes place on this platform, and it not being available stops any model development. The model development environment, over time, will contain a great deal of (analytical) assets, and in that sense, it cannot be…

    https://www.kdnuggets.com/2015/09/data-science-data-architecture.html

  • Big Data: Main Developments in 2017 and Key Trends in 2018">Silver BlogBig Data: Main Developments in 2017 and Key Trends in 2018

    ...principles and practices (e.g. supply chain, ITAM, records management) toward managing information as an actual asset. This will include inventorying information, measuring information management maturity, and eventually lead to extended information ecosystems among partners. The formal, proactive...

    https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

  • KDnuggets Privacy Policy

    ...nuggets newsletter. Cookies We, and some of our partners who provide some of the services and products on our site, may use cookies to record session information, such as information on what pages users access or visit, record past activity at a site in order to provide better service when you...

    https://www.kdnuggets.com/news/privacy-policy.html

  • Linking Data Science Activities to Business Initiatives Using the Hypothesis Development Canvas

    ...eses (i.e., null hypothesis, null hypothesis). I am going to use this blog to provide more details and some instructions on the use of the Hypothesis Development Canvas. I will provide an example Hypothesis Development Canvas for our University of San Francisco Big Data MBA in-class Chipotle...

    https://www.kdnuggets.com/2018/11/data-science-activities-business-initiatives-hypothesis-development-canvas.html

  • Best Masters in Data Science and Analytics – Europe Edition

    ...ence. Students will have a curiosity about data, and will want to learn new techniques to boost their career and be part of exciting current industry developments. The program includes some complex programming tasks because of the applied nature of the course, so many students have a mathematics or...

    https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-europe.html

  • Gold Mine or Blind Alley? Functional Programming for Big Data & Machine Learning

    ...s of its opposite, imperative programming, and introduces a few new ideas, several of which have been subsequently adopted by many popular imperative programming languages. What You Can Do First-Order Functions Functional programming supports first order functions. These functions can be passed as...

    https://www.kdnuggets.com/2015/04/functional-programming-big-data-machine-learning.html

  • Object-oriented programming for data scientists: Build your ML estimator">Gold BlogObject-oriented programming for data scientists: Build your ML estimator

    ...fantastic article, which drills down to the concept of OOP in Python in more detail with a context of machine learning. Understanding Object-Oriented Programming Through Machine Learning Object-Oriented Programming (OOP) is not easy to wrap your head around. You can read tutorial after tutorial and...

    https://www.kdnuggets.com/2019/08/object-oriented-programming-data-scientists-estimator.html

  • Text Preprocessing in Python: Steps, Tools, and Examples

    ...port Fast and memory efficient processing of large corpora  [47] Collocate, Athelstan Uses statistical analyses (t-score, log likelihood, Mutual Information) and frequency information to present a list of candidate collocations Application Educational Price. Single user: $45 Searches for a...

    https://www.kdnuggets.com/2018/11/text-preprocessing-python.html

  • What Do Frameworks Offer Data Scientists that Programming Languages Lack?

    ...algorithms as part of the framework is much safer and more effective than trying to tinker with them as part of the language. Frameworks have been in development for years, meaning they are tried, tested, and true — a combination of thought and experimentation from the best programming minds....

    https://www.kdnuggets.com/2017/05/frameworks-offer-data-scientists-programming-languages-lack.html

  • Data-science? Agile? Cycles? My method for managing data-science projects in the Hi-tech industry.

    ...sults on a short-term basis.   Major differences between development and research   Let’s compare the development workflow for both fields. Programming: In software development, you organize the code into functions, classes (i.e., object-oriented-programming), and may use design-patterns...

    https://www.kdnuggets.com/2019/02/data-science-agile-cycles-method-managing-projects-hi-tech-industry.html

  • Connecting Data Systems and DevOps

    ...ay to put into practice some of the same organizational principles espoused by agile methodology (collaboration, enablement, and a focus on iterative development cycles). The goal is to have operations, development, and QA capabilities work closely together (often using the same tools) throughout...

    https://www.kdnuggets.com/2016/06/connecting-data-systems-devops.html

  • AI for Fun & Profit: Using the new Genie Cognitive Computing Platform for P2P Lending

    ...in the data. (It turns out that P1’s solution contained the highest Information Score. P2 and P3 had 376.70, P4 had 93.04.) More about both the Information Score and Information Profile can be found here. The next two sections provide key indicators resulting in loan paybacks (“10 Most...

    https://www.kdnuggets.com/2016/07/ai-fun-profit-genie-cognitive-computing.html

  • Text Analysis, Text Mining, and Information Retrieval Software

    ...ch. TextQuest, text analysis software Treparel KMX Text Analytics delivers fast and powerful search, clear visual insights and advanced analytics for information professionals, information consumers and in OEM partnerships. Readware Information Processor for Intranets and the Internet, classifies...

    https://www.kdnuggets.com/software/text.html

  • U. of Illinois at Urbana-Champaign: Open Rank Faculty Positions

    ...until after the search has closed. We especially welcome applications from members of under-represented groups working in these or other areas of the information sciences. For further information regarding application procedures, you may contact Candy Edwards cledward@illinois.edu or call...

    https://www.kdnuggets.com/jobs/17/10-09-illinois-faculty-positions.html

  • Data Science Project Flow for Startups

    ...a country-wise model down to a per-region model, or to compose several such models into a per-continent model), though many more exist.   3. The Development Phase   3.1. Model development & experiments framework setup The amount and complexity of setup required for model development...

    https://www.kdnuggets.com/2019/01/data-science-project-flow-startups.html

  • CUNY: Distinguished Lecturer – Data Analytics and Information Systems

    ...ense of and contribute to the increasingly globalized and technology-driven business environment. Students will develop core technical proficiency in programming, web and mobile app development, database design and management, enterprise applications and cloud computing, systems analysis and...

    https://www.kdnuggets.com/academic/15/01-05-cuny-distinguished-lecturer-data-analytics-information-systems.html

  • How to do Everything in Computer Vision

    ...nbsp; Segmentation   Segmentation is one of the more unique tasks in computer vision in that the networks need to learn both low- and high-level information. Low-level information to accurately segment each area and object in the image by the pixel, and high-level information to directly...

    https://www.kdnuggets.com/2019/02/everything-computer-vision.html

  • Data Science for Managers: Programming Languages">Silver BlogData Science for Managers: Programming Languages

    ...e for your specific project. In this article, we are going to talk about popular languages for Data Science and briefly describe each of them.   Programming languages   Python   Python is a modern, general-purpose, high-level, dynamic programming language. It can be used for...

    https://www.kdnuggets.com/2019/11/data-science-managers-programming-languages.html

  • Torus for Docker-First Data Science

    ...ineer (MLE). At a high level, MLEs have the same set of challenges as any software engineer working in a product development team: Standardized local development environments Development vs. production environment parity Standardized packaging and deployment pipelines In addition, certain aspects...

    https://www.kdnuggets.com/2018/05/torus-docker-first-data-science.html

  • Elsevier: Machine Learning Scientist

    ...ing science, technology and medicine. You will also need to act as a liaison between IT developers and (content) subject matters experts, translating information needs into software development. You will serve as one of the ML experts in the wider Content and Innovation team. Actively contributing...

    https://www.kdnuggets.com/jobs/17/10-09-elsevier-machine-learning-scientist.html

  • Challenge Yourself to Think, Mar 19-22, Las Vegas

    ...l, Application Engineer, The Hanover Insurance Group Shree Suryanarayan, Applications Development Manager, American Airlines Shawn Adams, Consultant, Information Technology Application Development, Nationwide Insurance Ross Ackerman, Digital Support Director, NetApp Mark Appelhans, Director...

    https://www.kdnuggets.com/2018/02/corinium-ibm-think-march-las-vegas.html

  • 70 Amazing Free Data Sources You Should Know">Silver Blog70 Amazing Free Data Sources You Should Know

    ...Capterra: Directory about business software and reviews. Monster: Data source for jobs and career opportunities. Glassdoor: Directory about jobs and information about inside scoop on companies with employee reviews, personalized salary tools, and more. The Good Garage Scheme: Directory about car...

    https://www.kdnuggets.com/2017/12/big-data-free-sources.html

  • GuideOne: Enterprise Information Architect

    ...rategy Lead the governance of the company’s data and information assets Establish and promote effective processes and a culture for strong data/information quality Develop new data/information assets to support company strategies such as becoming more customer focused Collaborate with Data...

    https://www.kdnuggets.com/jobs/16/09-02-guideone-enterprise-information-architect.html

  • Syracuse iSchool: Faculty Positions, Tenure Track in Information Science

    ...masters’ students and 650 undergraduates, led by over 40 full-time faculty and 100 part-time faculty. Our faculty have recognized strengths in information retrieval, information management, library programs and services, natural language processing, computational social science, online...

    https://www.kdnuggets.com/jobs/15/09-14-syracuse-ischool-faculty-positions.html

  • Jobs in AI, Analytics, Data Science, Machine Learning

    ...ersity Park, PA, USA. – Sep 12, 2019. The James Wang Research Group seeks to recruit students who have solid knowledge and training in computer/information science or a related field, excellent mathematics background, and proven programming skills to work on fundamental AI research. Data...

    https://www.kdnuggets.com/jobs/index.html

  • Workforce Data Science: Does Talent Development Increase Performance Over Time?

    …erenced here, analytics results showed that sales rep performance did not measurably increase over time – despite multi-millions being spent on development efforts including: training, coaching, competency development and the like. Figure 1: Performance Level over time for Top 5%, Top 25%,…

    https://www.kdnuggets.com/2015/09/data-science-talent-development-performance.html

  • 2019 Best Masters in Data Science and Analytics – Online

    ...ackgrounds who want to deepen their analytical skills and move into senior business analyst positions. 24 $67575 ($62500) 4 (4) UC Berkeley Master of Information and Data Science The Master of Information and Data Science (MIDS) delivered online prepares data science professionals to be leaders in...

    https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-online.html

  • Introduction to Natural Language Processing, Part 1: Lexical Units

    ...sentations of information, parsing that information from the data generating process, and constructing, storing, and using data structures that store information — to information embedded in natural languages. What makes a language natural is precisely what makes natural language processing...

    https://www.kdnuggets.com/2017/02/datascience-introduction-natural-language-processing-part1.html

  • Top KDnuggets tweets, Jan 19-20: 15 programming languages you need to know in 2015; R Programming fun: writing a Twitter bot

    ...Pictures that State-of-the-Art #AI Can’t Recognize (yet) #Vision #DeepLearning t.co/OsUgXAjS8C t.co/4EHQybz6Wj Top 10 most engaging Tweets 15 #programming languages you need to know in 2015 – #Java #PHP #C++ #Python #SQL #R t.co/ZcScPzuevS #rstats t.co/E1PCvEUT7G #Facebook open sources...

    https://www.kdnuggets.com/2015/01/top-tweets-jan19-20.html

  • Big Data Analytics for Lenders and Creditors

    …where the applicant has a potential for improving the score and to do so in broad enough terms not to risk manipulated future applications. Scorecard development process Development sample The development sample (input data set) is a balanced sample consisting of 1500 good and 1500 bad accepted…

    https://www.kdnuggets.com/2015/10/big-data-analytics-lenders-creditors.html

  • An Inside View of Language Technologies at Google

    ...earch, which allows me and my colleagues to innovate in various different areas where we have experience. In my case, I have worked over the years on information extraction, event extraction, text summarization and information retrieval, and all of these come together for question answering —...

    https://www.kdnuggets.com/2015/10/seth-grimes-language-technologies-google.html

  • Generative Adversarial Networks – Key Milestones and State of the Art

    ...o transfer that knowledge into the latent space. Then we extract that intelligence from the latent space using our decoder and append the transformed information to our original data set. The result is a new, larger data set that is bolstered by information from a variety of sources, but which...

    https://www.kdnuggets.com/2019/04/future-generative-adversarial-networks.html

  • Summer School: Constraint Programming Data Mining, Sicily

    ...e hand, and constraint programming and optimization on the other hand. If successful, this would change the face of data mining as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to improve the formulation and solution...

    https://www.kdnuggets.com/2014/06/summer-school-constraint-programming-data-mining-sicily.html

  • Best Data Science Online Courses

    …b Apps in R with Shiny $119 Data Mining with R: Go from Beginner to Advanced! $99 Applied Multivariate Analysis with R $99 SAS Course Title Price SAS programming for beginners $19 Clinical SAS Programming(CDISC) $250 Certified SAS Base Programmer $299 Advanced SAS $29 Logistic Regression (Credit…

    https://www.kdnuggets.com/2015/10/best-data-science-online-courses.html

  • 10 Great Python Resources for Aspiring Data Scientists">Platinum Blog10 Great Python Resources for Aspiring Data Scientists

    ...ith. Not to mention it is open-source, interpreted, high-level tool!   10. Why Python is Essential for Data Analysis Python is a general purpose programming language, meaning it can be used in the development of both web and desktop applications. It’s also useful in the development of complex...

    https://www.kdnuggets.com/2019/09/10-great-python-resources-aspiring-data-scientists.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on the Role of Big Data in Economic Development

    ...ley, writing his dissertation on Big Data and demographic research. Emmanuel is the author of UN Global Pulse’s White Paper “Big Data for Development” (2012), the lead author of the 2013 and 2014 OECD Fragile States reports and a regular contributor on Big Data and development. He...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-big-data-economic-development.html

  • More Free Data Mining, Data Science Books and Resources

    ...Techniques and Applications by Nada Lavrac and Saso Dzeroski, 1994.An old book about inductive logic programming with great theoretical and practical information, referencing some important tools. Information Theory, Inference, and Learning Algorithms by David MacKay, 2009.An interesting approach...

    https://www.kdnuggets.com/2015/03/free-data-mining-data-science-books-resources.html

  • Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey">Gold BlogBest Online Masters in Data Science and Analytics – a comprehensive, unbiased survey

    ...on application of data analysis in a multi-platform environment that includes deep exposure to SAS(r) tools as well as training using other tools and programming languages such as Python, R, SQL, Tableau, and places a strong emphasis on soft skills and business acumen development. 24...

    https://www.kdnuggets.com/2017/11/best-online-masters-analytics-data-science.html

  • Neural Code Search: How Facebook Uses Neural Networks to Help Developers Search for Code Snippets

    ...ode. To address this limitation, a team from Facebook AI Research (FAIR) has been working on an approach to use natural language processing (NLP) and information retrieval (IR) to infer search-relevant information directly from the source code text. The first materialization of the FAIR team...

    https://www.kdnuggets.com/2019/07/neural-code-facebook-uses-neural-networks.html

  • How to Capture Data to Make Business Impact

    ...f the underlying field of study (and a bit of luck too). Capturing noise has a side effect: the more noise we store, the more difficult it is to find information in the captured data. It is like a needle (information) in a haystack (noise). Even if we would easily tell the difference between a...

    https://www.kdnuggets.com/2019/03/capture-data-make-business-impact.html

  • 6 Reasons Why Python Is Suddenly Super Popular">Silver Blog, 20176 Reasons Why Python Is Suddenly Super Popular

    ...ble data. 4. Python Has Amazing Libraries When you’re working on bigger projects, libraries can really help you save time and cut down on the initial development cycle. Python has an excellent selection of libraries, from NumPy and SciPy for scientific computing to Django for web development. There...

    https://www.kdnuggets.com/2017/07/6-reasons-python-suddenly-super-popular.html

  • Consulting Companies in Analytics, Data Mining, Data Science, and Machine Learning

    ...vity, reduce costs and automate processes leveraging machine learning and computer vision technologies. Hong Kong. bitsnbrains, provides data mining, information retrieval, machine learning, forecasting and linguistics services. Valencia, Spain. Boire Filler Group, data-driven solutions for...

    https://www.kdnuggets.com/companies/consulting.html

  • Data Science Interview Guide

    ...lar Map Reduce algorithms (except Hadoop does it on disk while Spark does it in memory). Common Spark wrappers are Scala, Python and Java. Additional Information For more information on software development for data science applications, here are some of my other blogs: Python based Plotting with...

    https://www.kdnuggets.com/2018/04/data-science-interview-guide.html

  • Syracuse University: Information Studies – Open-Rank Tenure-Track Faculty (Four Positions) (Syracuse, NY)

    ...the development of students and courses in our degree programs in information management and technology, data science and data analytics, library and information science (including school media) and information science and technology. The successful candidates will join our “Faculty of One”: a...

    https://www.kdnuggets.com/jobs/18/08-16-syracuse-university-information-studies.html

  • Most Viewed Text Mining Lectures

    ...h) Text Mining, Information and Fact Extraction (TMIFE), Marie-Francine Moens, 2091 views, 7:44:46 (November 4, 2008, at 2nd Russian Summer School in Information Retrieval (RuSSIR), Taganrog 2008) Information Retrieval and Text Mining, Thomas Hofmann, 1889 views, 3:24:32 (February 25, 2007, at...

    https://www.kdnuggets.com/2014/09/most-viewed-text-mining-talks-videolectures.html

  • Bridgepoint Education: Director of Advanced Analytics

    ...& Deployment: Conduct research and make recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.   Operational Management: Direct and lead the development of statistical models to predict, quantify and forecast different...

    https://www.kdnuggets.com/jobs/14/11-22-bpiedu-director-advanced-analytics.html

  • Top KDnuggets tweets last week, Dec 1-7: Hilarious ! If programming languages were vehicles; Big Data Scientists have the highest salaries

    ...DijQWjD t.co/XWIw7hBXtB IBM #WatsonAnalytics goes public, cloud-based freemium data analysis with natural language t.co/e0MJnV9FZr t.co/XQ0H5hdQT0 If programming languages were vehicles, what would be R, SAS, and SQL? #rstats t.co/kOiLxwI6GQ t.co/a7U2Vee38C If programming languages were vehicles,...

    https://www.kdnuggets.com/2014/12/top-tweets-dec01-07.html

  • Microsoft F# for Big Data programming

    ...round 2004. It was designed by Don Syme, principal researcher at the company. The language is geared to data-oriented programming as well as parallel programming and algorithmic development. F# 3.0, featuring support for large-scale schematized data and APIs, was released last year along with an...

    https://www.kdnuggets.com/2013/02/microsoft-fsharp-for-big-data-programming.html

  • Microsoft F# for Big Data programming

    ...round 2004. It was designed by Don Syme, principal researcher at the company. The language is geared to data-oriented programming as well as parallel programming and algorithmic development. F# 3.0, featuring support for large-scale schematized data and APIs, was released last year along with an...

    https://www.kdnuggets.com/microsoft-f-for-big-data-programming.html

  • What is the Best Python IDE for Data Science?">Platinum BlogWhat is the Best Python IDE for Data Science?

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Related: Programming Best...

    https://www.kdnuggets.com/2018/11/best-python-ide-data-science.html

  • Understanding Modern Data Systems

    ...nderstand how data systems differ from most software. In this post, I will talk about the four characteristics that differentiate data infrastructure development from traditional development, and highlight key issues to look out for. We’ll get this one out of the way: yes, it’s “Big” Data. The...

    https://www.kdnuggets.com/2016/06/understanding-modern-data-systems.html

  • How AI will transform healthcare (and can it fix the US healthcare system?)">Silver BlogHow AI will transform healthcare (and can it fix the US healthcare system?)

    ...mounted before Quantum Computing achieves its potential. This will require the development of more stable hardware, commercial platforms for software development, and the development of cloud computing capabilities for the distribution and access of quantum computing resources.” Deloitte...

    https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

  • Intellectual Ventures Lab: Sr. Machine Learning Algorithm Development Software Engineer

    ...image processing, and advanced machine learning and computer vision algorithm development. ISG focuses on applications relevant to global health and development. The Senior Machine-Learning Algorithm Development Software Engineer (ML SE) will provide technical leadership to fast-paced...

    https://www.kdnuggets.com/jobs/16/10-18-intellectualventures-machine-learning-algorithm-engineer.html

  • University of Cincinnati: Assistant Professor – Educator, Information Systems [Cincinnati, OH]

    ...Proficient knowledge of big data and analytics tools. Examples include Hadoop, Spark, MapReduce, PowerBI, R, Cognos. Proficient knowledge of relevant programming languages. Examples include SQL, HiveQL, JAVA, Python, Linux. Preferred Qualifications Doctorate in Information Systems or Data Analytics...

    https://www.kdnuggets.com/jobs/19/03-20-university-of-cincinnati-assistant-professor.html

  • KDnuggets Interview with Jon Kleinberg, revisited

    …e of use, and what that will be. The informational and economic aspects raise many appealing questions. Essentially, when viewed as tools for finding information and getting questions answered, these sites are part of the broader trend toward information-seeking based on the knowledge possessed by…

    https://www.kdnuggets.com/2013/07/kdnuggets-interview-with-jon-kleinberg-revisited.html

  • KDnuggets Interview with Jon Kleinberg, revisited

    ...e of use, and what that will be. The informational and economic aspects raise many appealing questions. Essentially, when viewed as tools for finding information and getting questions answered, these sites are part of the broader trend toward information-seeking based on the knowledge possessed by...

    https://www.kdnuggets.com/2013/07/kdnuggets-interview-with-jon-kleinberg-revisited.html

  • Education in Analytics, Data Science, Machine Learning in USA/Canada – Degree Programs

    ...social value associated with big data collection and usage. Dubuque, IA. U. of Iowa, Tippie College of Business – BA in Business Analytics and Information Systems, combining foundational knowledge in business analytics and information systems with extensive practical experience. Iowa City,...

    https://www.kdnuggets.com/education/usa-canada.html

  • Syracuse University: Four Assistant Professor (Tenure Track) Faculty Positions – Information Studies [Syracuse, NY]

    ...the development of students and courses in our degree programs in information management and technology, data science and data analytics, library and information science (including school media), and information science and technology. The successful candidates will join our “Faculty of One”: a...

    https://www.kdnuggets.com/jobs/19/08-19-syracuse-assistant-professor-information-studies.html

  • The Complete Data Science LinkedIn Profile Guide">Silver BlogThe Complete Data Science LinkedIn Profile Guide

    ...applicant – Chris Harrison – Senior Consultant (Data Science, Machine Learning, Artificial Intelligence, Deep Learning, NLP & Big Data) The more information is available from an applicant, the better. The less information you have available on your profile, the lower the chances of your...

    https://www.kdnuggets.com/2019/11/data-science-linkedin-profile-guide.html

  • Learn Quantum Computing with Python and Q#, Get Programming with Python, Data Science with Python and Dask

    ...data scientists running the most powerful algorithms. If you’re looking to start programming with Python, one of the best resources available is Get Programming with Python. It’s written by Ana Bell, a scientist and lecturer who teaches Introduction to Computer Science and Programming Using Python...

    https://www.kdnuggets.com/2019/09/manning-quantum-computing-python-data-science-dask.html

  • Wolfram Breakthrough Knowledge-based Programming Language – what it means for Data Science?

    ...og post. Big promises apart – the current language of data scientists remains Python and R, and it would be interesting to see if the knowledge programming thing that the Wolfram Language enhances the availability of knowledge programming or simply fades as a marketing fad with some of...

    https://www.kdnuggets.com/2014/03/wolfram-breakthrough-knowledge-based-programming-language-data-science.html

  • If chatbots are to succeed, they need this

    ...the computer what was true. Given this database of true facts and rules, logical deduction could be used to answer the user’s queries. This style of programming is called “declarative programming”. The only real declarative programming language that has taken off and remains popular is SQL, which...

    https://www.kdnuggets.com/2018/05/chatbots-succeed-need-logic.html

  • How Different are Conventional Programming and Machine Learning?

    ...6;fizzbuzz’. If it is not divisible by any of the 3 or 5 then print ‘other’. It’s called a Fizzbuzz game.   Conventional Programming   It is extremely easy in conventional programming to feed the computer with a set of instructions because we have only 4 scenarios...

    https://www.kdnuggets.com/2018/12/different-conventional-programming-machine-learning.html

  • Top Machine Learning Software Tools for Developers">Gold BlogTop Machine Learning Software Tools for Developers

    ...ch is understandable when you look at the languages the tool supports. In addition to this, the Codota creators mentioned that the versions for other programming languages are in development, with the first one expected to be launched being JavaScript. There is a free version of this tool, which...

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  • CRN 50 Big Data Business Analytics Companies

    ...adnor, PA. Founded 1993. Revolution Analytics markets a big data analytics platform that’s based on the open-source “R” statistical programming language and software development environment. Mountain View, CA. Founded 2007. Rubikloud Technologies developed a cloud-based, real-time...

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  • Kent State University: Assistant/Associate Professor – Business Analytics/Information Systems [Kent, OH]

    ...tics/Information Systems effective fall 2019. The ideal candidate will be qualified to teach undergraduate and graduate courses in business analytics/information systems including but not limited to introductory and advanced programming courses, project management, systems analysis, and business...

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  • Doing Data Science: A Kaggle Walkthrough Part 4 – Data Transformation and Feature Extraction

    ...to 163 columns. Although this seems like a lot more information, most of this expansion was caused by the One Hot Encoding, which is not adding more information, but simply expanding out the existing information. We have not added any external data, and I didn’t even really investigate what...

    https://www.kdnuggets.com/2016/06/doing-data-science-kaggle-walkthrough-data-transformation-feature-extraction.html

  • The Analytics of Digital Transformation, according to TCS

    ...uages on these gadgets is also a contributing factor to the increased user base and increased content generation. News channels and other traditional information sources have also adopted social media for information dissemination, thereby paving the way for study of people’s reactions to policies...

    https://www.kdnuggets.com/2014/11/analytics-digital-transformation-tcs.html

  • Kent State University: Faculty Tenure-Track – Management and Information Systems

    ....edu Position: Faculty Tenure-Track – Management and Information Systems _Contact_: Apply online. Opportunity: The Department of Management and Information Systems (M&IS) at Kent State University seeks qualified applicants for an open tenure-track position at the rank of...

    https://www.kdnuggets.com/jobs/18/06-19-kent-state-faculty-management-information-systems.html

  • An Introduction to Monte Carlo Tree Search

    ...e Agency for planning interplanetary flights. Perfect Information Games Monte Carlo Tree Search is an algorithm used when playing a so-called perfect information game. In short, perfect information games are games in which, at any point in time, each player has perfect information about all event...

    https://www.kdnuggets.com/2017/12/introduction-monte-carlo-tree-search.html

  • Monash: Academic Opportunities in Information Technology

    ...support the principles of the Athena SWAN Charter. Applications from female candidates are strongly encouraged. Please visit our webpage for further information on the key areas in which the Faculty of Information Technology is recruiting exceptional Academics:...

    https://www.kdnuggets.com/jobs/17/10-12-monash-academic-opportunities.html

  • How Big Data and New Technologies Are Changing Aging

    ...ta. As we venture into the future, things will continue to shift in novel ways. One of the primary needs is and will continue to be data analysts and information security specialists who can actually ensure that forward motion continues, and that it does so productively and safely. The wealth of...

    https://www.kdnuggets.com/2017/12/big-data-changing-aging.html

  • Introducing Dask for Parallel Programming: An Interview with Project Lead Developer

    ...ere are people within Continuum like Ben Zaitlen, Kris Overholt, Daniel Rodriguez, and Christine Doig who make sure that systems run smoothly so that development happens rapidly. There are also people who fund Dask’s development, like the DARPA XData project, the Moore Foundation, and private...

    https://www.kdnuggets.com/2016/09/introducing-dask-parallel-programming.html

  • Top KDnuggets tweets, Dec 1-2: Hilarious: If programming languages were vehicles; How Google Translates Pictures Into Words

    ...20;Translates” Pictures Into Words Using #DeepLearning, #BigData & Vector Math t.co/3WubEvOmGe t.co/txy7dmLLPg Most Clicked: Hilarious ! If programming languages were vehicles: on C, C++, Java, Python, Perl, Lisp, … t.co/JZMk0NRMed t.co/romPicF6Y1 Top 10 most engaging Tweets...

    https://www.kdnuggets.com/2014/12/top-tweets-dec01-02.html

  • Python Data Science for Beginners">Silver BlogPython Data Science for Beginners

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Original. Reposted with...

    https://www.kdnuggets.com/2019/02/python-data-science-beginners.html

  • Top KDnuggets tweets, Jan 7-8: Programming languages popularity by US state; Machine Learning best practices from Kaggle competitions

    ...ited: Great talk: #MachineLearning best practices learned from lots of competitions, by @Kaggle Chief Scientist #BigData t.co/JOvDjRaXaj Most Viewed: Programming languages popularity by US state: #Java is big in #NY, #NJ, #Python in Idaho t.co/Ek1msfJAQw t.co/5ZgzoQIKcy Most Clicked: Programming...

    https://www.kdnuggets.com/2015/01/top-tweets-jan07-08.html

  • Programming Best Practices For Data Science">Silver BlogProgramming Best Practices For Data Science

    ...v', skiprows=1, low_memory=False) Read the data dictionary from the Lending Club download page to understand which columns don’t contain useful information for features. The desc and url columns seem to immediately fit this criteria. loans_2007 = loans_2007.drop(['desc', 'url'],axis=1) The...

    https://www.kdnuggets.com/2018/08/programming-best-practices-data-science.html

  • Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference">Gold BlogIntroducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

    ...adoption within the machine learning community. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming. The library integrates seamlessly with deep learning frameworks such as Keras and TensorFlow. Pyro Pyro is a deep probabilistic...

    https://www.kdnuggets.com/2019/07/introducing-gen-language-progammable-inference.html

  • New Online Data Science Tracks for 2017">Silver Blog, Apr 2017New Online Data Science Tracks for 2017

    …: $39/month for certificate Language: R Organization: Johns Hopkins University Prerequisites: some programming, knowledge of algebra Curriculum The R Programming Environment Advanced R Programming Building R Packages Building Data Visualization Tools Mastering Software Development in R Capstone edX…

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  • Corios LLC: Analytics Consultant

    ...sing SAS, databases, and data appliances to accomplish tasks such as: analytic data file development & cleansing, database integration, scripting/programming, statistical visualization, model development, model deployment   Required skills, knowledge, experience Qualified candidates should...

    https://www.kdnuggets.com/jobs/15/07-08-corios-analytics-consultant.html

  • Corios LLC: Analytics Consultant

    ...sing SAS, databases, and data appliances to accomplish tasks such as: analytic data file development & cleansing, database integration, scripting/programming, statistical visualization, model development, model deployment   Required skills, knowledge, experience Qualified candidates should...

    https://www.kdnuggets.com/jobs/15/08-12-corios-analytics-consultant.html

  • Corios LLC – Analytics Consultant

    ...sing SAS, databases, and data appliances to accomplish tasks such as: analytic data file development & cleansing, database integration, scripting/programming, statistical visualization, model development, model deployment   Required skills, knowledge, experience Qualified candidates should...

    https://www.kdnuggets.com/jobs/15/09-14-corios-analytics-consultant.html

  • 35 Open Source tools for Internet of Things

    ...1; Lights up when dark and changes color automatically. Step by step tutorial with full source code! 2. Eclipse IoT Project Have you heard of the Lua programming language yet? Eclipse is sponsoring several different projects surrounding IoT. They include application frameworks and services; open...

    https://www.kdnuggets.com/2016/07/open-source-tools-internet-things.html

  • Core Principles of Sustainable Data Science, Machine Learning and AI Product Development: Research as a core driver

    ...software libraries. Awareness and skills in the mathematical and algorithmic aspect in detail. Figure: A schematic of core principles for AI product development. Software development is an integral part of ML product development. However, during research, a code development can go very wild and a...

    https://www.kdnuggets.com/2019/01/core-principles-sustainable-data-science-machine-learning-ai-product-development.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Big Data for Development and Future Prospects

    ...ley, writing his dissertation on Big Data and demographic research. Emmanuel is the author of UN Global Pulse’s White Paper “Big Data for Development” (2012), the lead author of the 2013 and 2014 OECD Fragile States reports and a regular contributor on Big Data and development. He...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-big-data-development.html

  • 90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning

    ...Program. Information is Beautiful, by Independent data journalist and information designer David McCandless who is also the author of his book ‘Information is Beautiful’. Information Aesthetics designed and maintained by Andrew Vande Moere, an Associate Professor at KU Leuven...

    https://www.kdnuggets.com/2015/10/best-blogs-analytics-big-data-science-machine-learning.html

  • Ontology and Data Science">Silver BlogOntology and Data Science

    ...en we think of data and information, it’s possible to set up a framework to study data and its relation to other data. In this framework we represent information in an especially useful way. Information represented in a particular formal ontology can be more easily accessible to automated...

    https://www.kdnuggets.com/2019/01/ontology-data-science.html

  • What is Web Scraping and Why You Should Learn It?

    ...ctrical/Electronic Manufacturing; Government Administration…etc. Finding 2: Non-tech Jobs are Requiring Web Scraping Skills This is also based on the information on LinkedIn. There is no doubt that the most jobs requiring web scraping are tech-relevant ones, like Engineering, and Information...

    https://www.kdnuggets.com/2018/09/octoparse-web-scraping.html

  • Business Analytics & Business Intelligence Online Certificates & Degrees

    ...cs courses set the foundation for applied business analytics courses plus a capstone experience.  24 months  $45,756 Northwestern U. MSc in Information Systems with conc. in Analytics & BI  [Curriculum]  MSIS program trains students in information systems methodologies, with...

    https://www.kdnuggets.com/2015/08/business-analytics-bi-online-certificates-degrees.html

  • Interviews with Data Scientists: Claudia Perlich

    ...instance linear models cannot unless you add them. In order to learn anything from it, it has to appear multiple times. If it does not – blending in information de facto replaces the super high-dimensional identifier space (ZIP and date combination) with a much lower common space of say n features...

    https://www.kdnuggets.com/2016/12/interviews-data-scientists-claudia-perlich.html

  • Deep Learning Research Review: Natural Language Processing">Silver Blog, 2017Deep Learning Research Review: Natural Language Processing

    ...memory networks. The intuitive idea is that in order to accurately answer a question regarding a piece of text, you need to somehow store the initial information given to you. If I were to ask you the question “What does RNN stand for”, (assuming you’ve read this post fully J) you’ll be able to...

    https://www.kdnuggets.com/2017/01/deep-learning-review-natural-language-processing.html

  • NYU Stern: 2019-20 Asst. Professor of Information, Operations & Management Sciences – Information Systems, tenure-track [New York City, NY]

    ...hool of Business Location: New York City, NY Web: www.stern.nyu.edu _Contact_: Apply online here The Information Systems faculty in the Department of Information, Operations & Management Sciences at the Stern School of Business, New York University, invites applications for a tenure-track...

    https://www.kdnuggets.com/jobs/18/11-14-nyu-assistant-professor-information-operations-management-sciences.html

  • Avoiding Obvious Insights Using Analyze With Insight Miner

    ...imensionality, and reducing overfitting. While there are many feature selection techniques, we’ll focus on mutual information based technique. Mutual information is a measure taken from information theory that measures the mutual dependence of two random variables. Intuitively, mutual information...

    https://www.kdnuggets.com/2019/04/sisense-insight-miner.html

  • NREL: Data Scientist

    ...ateness of data storage, archive, purge and backup strategies. Technology tracking: Evaluate and track technology changes in big data initiatives and developments, database technologies, software development frameworks, data acquisition and storage, and software interfaces to database stores....

    https://www.kdnuggets.com/jobs/14/02-28-nrel-data-scientist.html

  • Age of AI Conference 2018 – Day 1 Highlights

    ...branding of the modern collection Deep Learning techniques”.Hence, it’s the title of the talk. Christopher Olah’s seminal blog post on differentiable programming and other types of programming, in which he imagines how we would look back on Deep Learning thirty years from now and establishes a...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-1.html

  • 3 ways to learn Data Science at Statistics.com

    ...eek to complete. Prerequisite: an undergraduate degree, plus some familiarity with basic programming (though we can help with that, if you are new to programming). Programming in Data Science – Use R for data mining, Python for text mining, extract data from databases with SQL, learn Hadoop...

    https://www.kdnuggets.com/2016/12/statisticscom-3-ways-learn-data-science.html

  • How a simple mix of object-oriented programming can sharpen your deep learning prototype

    ...hink very carefully about the API of the function i.e. what minimal set of arguments is required and how they will serve a purpose for a higher level programming task Don’t forget to write a docstring for a function, even if it is a one-liner description If you start accumulating many utility...

    https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html

  • NVIDIA: Deep Learning Library Software Development Engineer

    ...Science, Artificial Intelligence, Applied Math, or related field. Ability to work independently, define project goals and scope, and manage your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design. Python...

    https://www.kdnuggets.com/jobs/16/10-20-nvidia-deep-learning-library-software-development-engineer.html

  • ABB: Research Scientist – Data Analytics

    ...essing (e.g. Hadoop, Spark, Flink, etc.), local and in the cloud Practical experience in information visualization Experience in doing agile software development in a team Additional information: ABB is able to offer you an interesting role within a highly motivated team with open communication...

    https://www.kdnuggets.com/jobs/17/01-26-abb-research-scientist-data-analytics.html

  • DuPont Pioneer: Senior Software Developer – Bioinformatics

    ...ies like d3.js Data management and data extraction skills; familiarity with data science toolkits such as Spark, Hadoop. Experience with a Linux/Unix development environment. Object-orient programming with Java/C a plus Required Competencies: Proven skill in an object-oriented language, C#, Python,...

    https://www.kdnuggets.com/jobs/16/09-09-dupont-software-developer-bioinformatics.html

  • DuPont: Sr. Software Developer – BioInformatics/Genomics (ABT00001643)

    ...like d3.js • Data management and data extraction skills; familiarity with data science toolkits such as Spark, Hadoop. • Experience with a Linux/Unix development environment. • Object-orient programming with Java/C a plus Required Competencies: • Proven skill in an object-oriented language, C#,...

    https://www.kdnuggets.com/jobs/16/04-20-dupont-sr-software-developer-bioinformatics-genomics.html

  • An ode to the analytics grease monkeys

    …year by IBM, through an extended version called Analytics Solutions Unified Method for Data Mining/Predictive Analytics (also known as ASUM-DM). Many development efforts at IBM enable the development cycle through technologies including our Data Science Experience (DSX) and our ML-as-a-Service…

    https://www.kdnuggets.com/2017/02/analytics-grease-monkeys.html

  • Top 10 Technology Trends of 2019

    ...decades the way people live, work and interact has been considerably changed. The focus of human life has shifted from nature to technologies. Rapid development of science, industrial revolution and constant development of new technologies largely influenced on the way people live. The life is...

    https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

  • Webinar: Text Mining Along the Drug Development Pipeline, Jan 28

    ...the drug discovery pipeline. Text mining in particular is playing an important role in speeding up the process of R&D. From discovery to clinical development to post-approval research and monitoring – text mining has enabled researchers to pursue promising new therapies and pivot away...

    https://www.kdnuggets.com/2016/01/copyright-text-mining-drug-development-pipeline.html

  • Building Data Systems: What Do You Need?

    ...n on using modern data infrastructure, it is essential for developers to understand distributed systems principles. You must allocate the appropriate development and operation personnel (or equivalent managed services) for the lifespan of the product/platform. Product Management   The platform...

    https://www.kdnuggets.com/2016/06/building-data-systems-need.html

  • Artificial Friend or Virtual Foe

    ...ework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations”. Minds & Machines, 28: 689. Hilbert, M. (2016). “Big data for development: A review of promises and challenges”. Development Policy Review 34 (1): 135–174. Kapoor, A., Eagle, N., Horvitz, E. (2010). “People,...

    https://www.kdnuggets.com/2019/12/artificial-friend-virtual-foe.html

  • Data Science “Paint by the Numbers” with the Hypothesis Development Canvas

    ...The Hypothesis Development Canvas is designed to facilitate the business stakeholder-data science collaboration (see Figure 2). Figure 2: Hypothesis Development Canvas The Hypotheses Development Canvas includes the following: Hypotheses Description and Objectives – what it is the organization is...

    https://www.kdnuggets.com/2018/11/data-science-paint-by-numbers-hypothesis-development-canvas.html

  • Boeing: Advanced Information Technologist Text Analytics

    .... An employee will typically work on multi-year projects that end with capability transitions. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Business Unit. An employee will work on a small...

    https://www.kdnuggets.com/jobs/15/04-28-boeing-advanced-information-technologist-text-analytics.html

  • Medical Image Analysis with Deep Learning , Part 4

    ...ata in DICOM format. A DICOM file consists of a header and the image data in the same file (*.dcm). The size of the header depends on how much header information is provided. The header contains information such the Patient Id, Patient Name, Modality and other information. It defines also how many...

    https://www.kdnuggets.com/2017/07/medical-image-analysis-deep-learning-part-4.html

  • Text Mining 101: Mining Information From A Resume">Silver Blog, May 2017Text Mining 101: Mining Information From A Resume

    …ot only in different file formats (txt, doc, pdf, etc.) but also with different contents and layouts. Such heterogeneity makes extraction of relevant information, a challenging task. Even though it may not be possible to fully extract all the relevant information from all the types of formats, one…

    https://www.kdnuggets.com/2017/05/text-mining-information-resume.html

  • Overview of Different Approaches to Deploying Machine Learning Models in Production

    ...essages. When a new message is retrieved by the prediction app, it will request and retrieve the customer profile and use the message and the profile information to make a prediction. which it will ultimately push back to the customer profile for further use. A slightly different flow can be setup...

    https://www.kdnuggets.com/2019/06/approaches-deploying-machine-learning-production.html

  • UW Tacoma, The Milgard School of Business: Director, Center for Information Based Management

    ...lytic projects, developing relations with community stakeholders, as well as the ability to teach in one or more of the following fields: statistics, information systems and technology, operations research and business analytics. Core responsibilities of the position will be to launch and lead the...

    https://www.kdnuggets.com/academic/15/04-07-uwtacoma-director-center-information-based-management.html

  • Information Management 10 IT Security Books for Big Data Scientists

    …with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data 1st Edition, by multiple authors Analytic techniques…

    https://www.kdnuggets.com/2015/08/information-management-security-books-big-data-scientists.html

  • How to Become a Data Scientist: The Definitive Guide">Silver Blog, Aug 2017How to Become a Data Scientist: The Definitive Guide

    ...ome libraries tend to handle a lot of the linear algebra tasks for you. But it is still important to understand how these algorithms work!   The Programming   “Measuring programming progress by lines of code is like measuring aircraft building progress by weight.” — Bill Gates The data...

    https://www.kdnuggets.com/2017/08/become-data-scientist-definitive-guide.html

  • The Difference Between Data Scientists and Data Engineers

    ...ithm used by the data scientist in R to a more robust production platform. Overlapping Skills Certainly, there are overlapping skills with respect to programming, although a data engineer’s programming skills often outweigh those of a data scientist. For example, having a data scientist program a...

    https://www.kdnuggets.com/2019/03/odsc-difference-data-scientists-data-engineers.html

  • How to Become a (Good) Data Scientist – Beginner Guide">Platinum BlogHow to Become a (Good) Data Scientist – Beginner Guide

    ...soft skills that make up a good data scientist.   Original. Reposted with permission. Bio: SciForce is a Ukraine-based IT company specialized in development of software solutions based on science-driven information technologies. We have wide-ranging expertise in many key AI technologies,...

    https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html

  • Top KDnuggets tweets, Jan 04-10: Cartoon: When Self-Driving Car takes you too far; A massive collection of free programming books

    ...low_ian https://t.co/1riBvzO8W7 https://t.co/GrOVzzkRxL Top 10 most engaging Tweets A massive collection of (what we assume to be legitimately) free #programming books: https://t.co/31LzaLStn6 https://t.co/ledMPOfUPl #AI #DataScience #MachineLearning: Main Developments 2016, Key Trends 2017...

    https://www.kdnuggets.com/2017/01/top-tweets-jan04-10.html

  • COMAD India Graph Mining Programming contest

    Graph Mining Programming Contest at 20th International Conference on Management of Data COMAD 2014 17th-19th December, 2014 Hyderabad, India COMAD 2014 announces a programming contest on mining densest subgraphs from a given graph, which correspond to communities in a variety of social networks....

    https://www.kdnuggets.com/2014/09/comad-india-graph-mining-programming-contest.html

  • R Programming: Who, Where and What

    comments By Ashwin Ramasamy, (ContractIQ). R Programming is on the rise year on year in popularity and is among the top 10 programming languages over the last few years. Data science as a discipline is becoming mainstream, driven largely by fast growing internet & software technology…

    https://www.kdnuggets.com/2015/08/r-programming-who-where-what.html

  • R Learning Path: From beginner to expert in R in 7 steps

    ...with offline interactive R coding exercises. There is also an online version available that requires no set-up. On edX you can take Introduction to R Programming by Microsoft. The R Programming course by Johns Hopkins on Coursera.   Next to these online tutorials there are also some very good...

    https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html

  • KDnuggets™ News 18:n10, Mar 7: Functional Programming in Python; Surviving Your Data Science Interview; Easy Image Recognition with Google Tensorflow

    ...p;|  Courses |  Meetings |  Jobs |  Tops |  Image of the week   Features Introduction to Functional Programming in Python How to Survive Your Data Science Interview Is Google Tensorflow Object Detection API the Easiest Way to Implement Image...

    https://www.kdnuggets.com/2018/n10.html

  • KDnuggets™ News 19:n33, Sep 4: Data Science Skills Poll; Object-oriented Programming for Data Scientists

    ...earning-related skills you currently have, and which skills you want to add or improve!   Features New Poll: Data Science Skills Object-oriented programming for data scientists: Build your ML estimator Deep Learning Next Step: Transformers and Attention Mechanism R Users’ Salaries from...

    https://www.kdnuggets.com/2019/n33.html

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