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Search results for Information Assurance Development Programming

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  • 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

  • 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

  • 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

  • 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

  • Exploring the Impact of Geographic Information Systems

    comments Source Geographic Information Systems are seeing a new popularity in recent times partly thanks to the COVID-19 Outbreak that has prompted may people to use spatial analysis to showcase the spread of the virus. GIS has mostly been behind more popular buzzwords like machine learning and...

    https://www.kdnuggets.com/2020/04/impact-geographic-information-systems.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

  • Graph Machine Learning in Genomic Prediction

    ...the neural network. A SNP is essentially a difference that occurs at a specific position in an individual’s genome. By observing individuals’ genomic information, e.g. SNPs, and the observed traits, the neural network will learn to predict the traits for unseen individuals from their genomic...

    https://www.kdnuggets.com/2020/06/graph-machine-learning-genomic-prediction.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

  • 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

  • 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

  • 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

  • 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 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

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

  • I Designed My Own Machine Learning and AI Degree

    ...nal Covers: how to solve complex search problems with discrete optimization concepts and algorithms, constraint programming, branch and bound, linear programming (LP), mixed-integer programming   Computer Science Foundation   Introduction to Computer Science by Harvard (edX) [Free, $99 w/...

    https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.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

  • 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

  • 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

  • Can Java Be Used for Machine Learning and Data Science?">Gold BlogCan Java Be Used for Machine Learning and Data Science?

    ...nalysis is an open-source software used specifically for data mining on data streams in real-time. Java is an incredibly useful, speedy, and reliable programming language that helps development teams build a multitude of projects. From data mining and data analysis to the building of Machine...

    https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.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 the...

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

  • 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

  • Microsoft: Sr. Software Development Engineer, Analysis and Experimentation Team

    ...ld's largest data processing system (COSMOS) with hundreds of thousands of servers. Guide the team on developing the systems for high stability, fast development, low development cost, and low maintenance cost. Provide technical leadership to other team members. Help to build and grow talents in...

    https://www.kdnuggets.com/jobs/14/05-06-microsoft-sr-sde-analysis-experimentation-team.html

  • Starcom: Director, Analytics and Development

    ...dvanced analytics and data visualization to turn complex data into compelling stories that influence change. We are seeking a Director, Analytics and Development to provide analytics-based research, insights and direction to aid in the measurement and ultimately development of effective experience...

    https://www.kdnuggets.com/jobs/14/08-17-starcom-director-analytics-development.html

  • AT&T: Lead Product Development Engineer Big Data CIP IT Systems

    ...es MAPR, PIG, MAHOUT, CHUKWA, FLUME, HBASE/HDFS/Cassandra, SQIVE, HOOP (for semi-structured, unstructured content) Hadoop stack-modeling, collection, development, file structure, and data management Previous experience working in a high-growth tech environment Deep knowledge of Big Data platforms,...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-engineer-big-data-cip-it-systems.html

  • Interview: Piero Ferrante, BCBS on Why Healthcare is Rich in Data but Poor in Information

    ...us understand a wide range of scenarios for different books of business. AR: Q2. Healthcare is often referred to as a sector rich in data and weak in information. Do you agree? What are the biggest challenges in leveraging healthcare data? PF: That’s fair to say. I define analytics as the...

    https://www.kdnuggets.com/2014/07/interview-piero-ferrante-bcbs-kansas-city-healthcare-analytics.html

  • Understanding Decision Trees for Classification in Python

    ...ponding split point that results in the largest information gain (IG) for a given criterion (gini or entropy in this example). Loosely, we can define information gain as IG = information before splitting (parent) — information after splitting (children) For a clearer understanding of parent and...

    https://www.kdnuggets.com/2019/08/understanding-decision-trees-classification-python.html

  • 2014 Jan: Analytics, Big Data, Data Mining and Data Science News

    ...2014. Health Sys Analyst Programmer II 1311219 at Vanderbilt U. & Medical Center, Nashville, TN - Jan 3, 2014. Analyze operational processes and information generation or utilization. Develop, test, implement and support computer-based information systems. Assist lower level analyst...

    https://www.kdnuggets.com/2014/01/index-old.html

  • Interview: Amit Sheth, Kno.e.sis on Deriving Value from Big Data through Smart Data

    ...ng, outdoor pollen and smog, etc. From the cyber world we utilize a conceptual model for how physicians classify levels of asthma control, historical information, information collected from health organizations (e.g., number of asthma related admissions and deviations from the norm), and from the...

    https://www.kdnuggets.com/2015/01/interview-amit-sheth-knoesis-smart-data.html

  • Doing Data Science: A Kaggle Walkthrough Part 2 – Understanding the Data

    ...e users in both the testing and training datasets above. With this information in mind, an easy first step in understanding the data is reviewing the information provided by the data provider – Airbnb. For this competition, the information can be found here. The main points (aside from the...

    https://www.kdnuggets.com/2016/05/doing-data-science-kaggle-walkthrough-understanding-data.html

  • A Comprehensive Data Repository for Fake Health News Detection

    ...various directions in fake health news detection [1, 2]. News contents: text is provided along with the source publisher, image links, and other side information, which benefits the development of algorithms utilizing publisher credibility, visuals, and other information in addition to article...

    https://www.kdnuggets.com/2020/03/data-repository-fake-health-news.html

  • Let’s Admit It: We’re a Long Way from Using “Real Intelligence” in AI

    ...the unique language of your business instead of general linguistic and semantic libraries employed today. See our video at www.datascava.com for more information. In his earlier career, John worked on real-time financial trading and decision support systems development and integration in the U.S.,...

    https://www.kdnuggets.com/2018/04/admit-long-way-from-using-real-intelligence-ai.html

  • Machine Learning and Misinformation

    ...ill bring huge advances to our ability to communicate with each other, but it also poses an enormous threat with the creation and dissemination of disinformation and misinformation. The difference between disinformation and misinformation is intent; disinformation is created with a malicious intent...

    https://www.kdnuggets.com/2017/07/machine-learning-misinformation.html

  • Careful! Looking at your model results too much can cause information leakage

    ...he model is improved, but you have used information about the test set to feed into the model. Information has been leaked between the groups.   Information Leakage   Information leakage is when information from a sealed system leaks out somewhere it shouldn’t. This is a term often used...

    https://www.kdnuggets.com/2019/05/careful-looking-model-results-cause-information-leakage.html

  • Can graph machine learning identify hate speech in online social networks?

    ...s, we can correctly identify more hateful users for the same low number of misclassified normal users. We can conclude that by using the relationship information available in the data, as well as the unlabelled user information, the performance of a machine learning model on sparsely labelled...

    https://www.kdnuggets.com/2019/09/graph-machine-learning-hate-speech-social-networks.html

  • Customer Segmentation for R Users

    ...selected products and the groups we matched after scraping: Now we can switch from 3883 “Description” values to 41 “Category” values. Let’s use this information to create new sets of variables that store information about how much each customer spends in each category. We now have our final...

    https://www.kdnuggets.com/2019/09/customer-segmentation-r-users.html

  • Blockchains and APIs

    ...systems. In the coming era, Individuals themselves i.e; the Voluntary information/data that we provide are the emerging source of kind of intriguing information apart from existing methodology of receiving information through connected devices. For Instance, recently the Unites States (U.S) fast...

    https://www.kdnuggets.com/2018/03/blockchains-apis.html

  • Cummins: Data Engineering Technical Specialist [Columbus, IN]

    ...internal users/data sources as well as external users/data sources. Design and Implement automated reports and API’s for visualization and analytics development. Design and Implement data pipeline development methods that combine internal Cummins' data sources as well as external and third-party...

    https://www.kdnuggets.com/jobs/18/12-13-cummins-data-engineering-technical-specialist.html

  • If programming languages were vehicles, what would be R, Python, SAS, and SQL?

    comments By Gregory Piatetsky, @kdnuggets, Dec 6, 2014. I recently read (and tweeted) a funny post Hilarious ! If programming languages were vehicles: on C, C++, Java, Python, Perl, Lisp, ... http://t.co/JZMk0NRMed pic.twitter.com/romPicF6Y1 — Gregory Piatetsky (@kdnuggets) December 1,...

    https://www.kdnuggets.com/2014/12/if-programming-languages-were-vehicles-r-sas-sql.html

  • Perfume, computer programming, and Harvard

    ...g to pay a 2800% premium for the Harvard name, as opposed to an EdX credential. A bit like perfume. Statistics.com also has an introductory track for programming, focusing on the needs of data scientists, using R, Python and SQL. Small classes, individual attention from instructor and teaching...

    https://www.kdnuggets.com/2014/10/perfume-computer-programming-harvard.html

  • Fastest Growing Programming Languages and Computing Frameworks

    comments By Nathan Epstein The Redmonk Language Rankings have been an important tool for ranking the popularity of programming languages since the analysis (regressing Github repo count against Stack Overflow posts) was first done in 2010. The fact that the repo count and post count are…

    https://www.kdnuggets.com/2016/03/ranking-growth-programming-languages.html

  • 5 EBooks to Read Before Getting into A Data Science or Big Data Career

    ...skill sets for a data science role; Resources to build on your learning; And much more! Click here to download Big Data ebook for free   2. Top Programming Languages for a Data Scientist Programming is a core technical skill that is an absolute must-have for data scientists. Learn which...

    https://www.kdnuggets.com/2016/08/simplilearn-5-free-ebooks-data-science-big-data.html

  • KDnuggets™ News 15:n35, Oct 28: Data Science Machine; Programming: Python vs R; KDnuggets Addiction

    ...ons |  Tweets | Quote    Features The Data Science Machine, or ‘How To Engineer Feature Engineering' Data Science Programming: Python vs R Cartoon: KDnuggets Addiction How to Use Data Visualizations to Win Over Your Audience Introducing: Blocks and Fuel -...

    https://www.kdnuggets.com/2015/n35.html

  • Online Data Science Certificates: Analytics and Programming for Data Science

    ...programming proficiency. A typical student profile in this program might be someone working in IT who wants to expand into analytics; a student with programming experience would require about a year to complete all courses. Instruction in basic programming is available for novice programmers (in...

    https://www.kdnuggets.com/2014/03/online-data-science-certificates-analytics-programming-for-data-science.html

  • Top stories in December: If programming languages were vehicles; Cartoon: Unexpected Data Science Recommendations

    Most viewed If programming languages were vehicles, what would be R, Python, SAS, and SQL? - Dec 6, 2014. Geoffrey Hinton talks about Deep Learning, Google and Everything - Dec 1, 2014. Most Demanded Data Science and Data Mining Skills - Dec 15, 2014. IBM Watson Analytics vs. Microsoft Azure...

    https://www.kdnuggets.com/2015/01/top-news-2014-dec.html

  • Geisinger: Senior Data Science Programmer

    ...rmance Computing environment 4) Manage the shared data and analytics resources for the data science group Experience: A minimum of 3 years of general development experience or 1 year of development experience in a scientific computing (e.g., supercomputing) specialty For more information and to...

    https://www.kdnuggets.com/jobs/15/07-20-geisinger-senior-high-performance-computing-programmer.html

  • Data Scientist

    ...uses, import and/or move data between stores, and take random samples. Maintain data dictionaries to support knowledge transfer. Systems Analysis and Development (25%) Contribute development effort and high-level planning to web-based applications that improve business processes across University...

    https://www.kdnuggets.com/jobs/13/05-31-umich-data-scientist.html

  • Turner: Advisor Analytics Architect

    ...integrate data/model solutions with business applications Development of business intelligence visualization and tools to support business processes Development of API and system integration code Development of data visualizations and interactive business intelligence tools Development of complex...

    https://www.kdnuggets.com/jobs/17/03-24-turner-advisor-analytics-architect.html

  • Disney: Decisioning Development Manager II

    ...ter and a quick learner with a desire to learn new tools and techniques. This role will oversee a part-time resource also responsible for decisioning development. Responsibilities In-house management of WDPR's real-time personalization tool, serving as a key team member in cross-departmental and...

    https://www.kdnuggets.com/jobs/15/10-01-disney-decisioning-development-manager.html

  • Equifax: Senior Statistical Modeler

    ...ve model development - accountable for the design of innovative new solutions as well as leading the development of those solutions (Proof of Concept development, business case development, feasibility analysis, prototyping through product delivery) Internal business development - work with product...

    https://www.kdnuggets.com/jobs/16/10-14-equifax-sr-statistical-modeler.html

  • SAP.iO Start-Up Incubator: Senior Data Scientist

    ...ear and compelling way Excellent written and communication skills in English language Experience working in a startup environment with a lean product development process through rapid iteration Experience working closely with developers and designers throughout the product development process...

    https://www.kdnuggets.com/jobs/16/11-09-sap-senior-data-scientist.html

  • Disney Parks & Resorts: Decisioning Development Marketing Manager

    ...ter and a quick learner with a desire to learn new tools and techniques. This role will oversee a part-time resource also responsible for decisioning development. Responsibilities In-house management of WDPR's real-time personalization tool, serving as a key team member in cross-departmental and...

    https://www.kdnuggets.com/jobs/15/11-04-disney-decisioning-development-marketing-manager.html

  • RCloud – DevOps for Data Science

    …zations, recommendations and reports were done with another. This separation often extended to the very systems where the tools were located (e.g., a development environment versus a production environment). Separating the tools and the environments hinders mid-process feedback and development

    https://www.kdnuggets.com/2016/11/rcloud-devops-data-science.html

  • Data Science For Our Mental Development

    ...ing to the World Privacy Forum, the street value of stolen healthcare credentials is around $50, compared to the street for $1 for stolen credit card information or social security number alone. Similarly, mental health information is sensitive personalized data that can be exploited by hackers....

    https://www.kdnuggets.com/2019/02/data-science-mental-development.html

  • UCLouvain: Postdoc, Machine Learning/Information Visualisation

    ...social security is about 26000 euros per year, or more, depending on seniority. Applicants should be knowledgeable in machine learning, data mining, information visualisation, with a particular interest in manifold learning, dimensionality reduction and information retrieval. Applicants should...

    https://www.kdnuggets.com/academic/13/01-23-uclouvain-postdoc-machine-learning-information-visualisation.html

  • Passive Data Collection and Actionable Results: What to Know

    ...ors do without those parties knowing about it. Actionable data, in the case of competitor analysis, relates to organizations that know how to use the information at their disposal for developments and decision-making. However, statistics show that only 31% of respondents say they work at...

    https://www.kdnuggets.com/2020/02/passive-data-collection-actionable-results.html

  • Scalable graph machine learning: a mountain we can climb?

    ...other nodes from a graph - even the entire graph. In a more traditional deep learning pipeline, if we want to predict something about x, we only need information about x itself. But with the graph structure in mind, in order to predict something about x we potentially need to aggregate information...

    https://www.kdnuggets.com/2019/12/scalable-graph-machine-learning.html

  • How Concerned Should You be About Predictor Collinearity? It Depends…

    ...rlap in the information provided by the two predictors increases, the amount of information specific to each predictor decreases. This overlap in the information between the two predictors means that the amount of information specific to each of these two predictors that each row of the data...

    https://www.kdnuggets.com/2019/08/predictor-collinearity.html

  • 3 Key Ethics Principles for Big Data and Data Science

    ...ub Sensitive Data Employees in the information science field must comprehend what data is personal and delicate and identify the ways to utilize such information. When information on consumers is collected without consent, it must be scrubbed of insight that can cause the figures to be personally...

    https://www.kdnuggets.com/2016/07/ethics-principles-big-data-science.html

  • Big Data Innovation Summit 2014 Toronto: Day 2 Highlights

    ...t market is currently bullish on Big Data. Shirin stated that there are 2 approaches in Analytics, which she referred to as "Stone Age" approach and "Information Age" approach. She shared the following anonymous quote: “The Stone Age was marked by the clever use of crude tools; the Information Age...

    https://www.kdnuggets.com/2014/08/big-data-innovation-summit-2014-toronto-day2.html

  • Lynn Goldstein, Chief Data Officer, NYU on the Need for Data Governance

    ...re leveraging Cloud Computing. How does that impact data governance? LG: I do not think that cloud computing changes anything; fundamentally the same information management and accountability principles apply in the cloud context. Information in the hands of a third party needs to be managed with...

    https://www.kdnuggets.com/2014/06/interview-lynn-goldstein-chief-data-officer-nyu-data-governance.html

  • Inside Pluribus: Facebook’s New AI That Just Mastered the World’s Most Difficult Poker Game

    ...imperfect-information environment which means that players never have a complete picture of the game. No other game embodies the challenge of hidden information quite like poker, where each player has information (his or her cards) that the others lack. Additionally, an action in poker in highly...

    https://www.kdnuggets.com/2019/08/inside-pluribus-facebooks-new-ai-poker.html

  • UC Berkeley Master of Information and Data Science, Online

    UC Berkeley School of Information’s Master of Information and Data Science The Master of Information and Data Science (MIDS) is a degree program delivered online for professionals looking to become leaders in the field of data science. The program features a multidisciplinary approach that...

    https://www.kdnuggets.com/2014/04/berkeley-ms-information-data-science-online.html

  • Understanding Convolutional Neural Networks for NLP

    …er regions. By performing the max operation you are keeping information about whether or not the feature appeared in the sentence, but you are losing information about where exactly it appeared. But isn’t this information about locality really useful? Yes, it is and it’s a bit similar to what a bag…

    https://www.kdnuggets.com/2015/11/understanding-convolutional-neural-networks-nlp.html

  • Are Big Data and Privacy at odds? FICO Interview

    ...What is your opinion of personal data marketplaces? (for example Datacoup start-up gives people $8/month in exchange for access to their social media information.) AJ: I expect to see more of this trend. People realize there’s value in their information, and they want to know how they can get a...

    https://www.kdnuggets.com/2014/04/big-data-vs-privacy-fico-interview.html

  • Bayesian Basics, Explained">Silver BlogBayesian Basics, Explained

    ...sian methods are often characterized as “subjective” because the user must choose a “prior distribution,” that is, a mathematical expression of prior information. The prior distribution requires information and user input, that’s for sure, but I don’t see this as being any more “subjective” than...

    https://www.kdnuggets.com/2016/12/bayesian-basics-explained.html

  • Data Capture – the Deep Learning Way

    ...itectures originally designed for scene understanding tasks in computer vision - a page is our scene, an approach completely unrelated to traditional information extraction. Precise reading When we identify multiple focal points on the page, it is time to precisely read and evaluate the...

    https://www.kdnuggets.com/2018/09/data-capture-deep-learning-way.html

  • Neural Networks with Numpy for Absolute Beginners: Introduction

    ...earing, creative thinking and so on. This is because the neurons belonging to a specific region in the brain are trained to process a certain kind of information better and hence get activated only when certain kinds of information is being sent. The figure below gives us a better understanding of...

    https://www.kdnuggets.com/2019/03/neural-networks-numpy-absolute-beginners-introduction.html

  • Are physicians worried about computers machine learning their jobs?

    …dical errors. Journal of health care finance, 39(1), 39. Ash2004JAMIA: Ash, J. S., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. Journal of the American Medical Informatics…

    https://www.kdnuggets.com/2017/08/are-physicians-worried-about-computers-machine-learning-their-jobs.html

  • Top Stories, Sep 7-13: Free From MIT: Intro to Computer Science and Programming in Python

    ...in Analytics, Business Analytics, Data Science – Updated The List of Top 10 Lists in Data Science Free From MIT: Intro to Computer Science and Programming in Python Know What Employers are Expecting for a Data Scientist Role in 2020 Most Shared Past 30 Days If I had to start learning Data...

    https://www.kdnuggets.com/2020/09/top-news-week-0907-0913.html

  • Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

    ...ith courses that cover numerical computing, data analysis, unstructured data, statistical modeling, data visualization, and Python as a data analysis programming language. This program can be completed online or in the classroom. Approx: 29 Weeks $3785 18 Coursera / U. of Washington Data Science at...

    https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html

  • The Benefits & Examples of Using Apache Spark with PySpark

    ...2013. Today, the project is developed collaboratively by a community of hundreds of developers from hundreds of organizations.   Spark is Not a Programming Language   One thing to remember is that Spark is not a programming language like Python or Java. It is a general-purpose...

    https://www.kdnuggets.com/2020/04/benefits-apache-spark-pyspark.html

  • Netflix: Manager, Content Programming Science & Algorithms

    ...n: Los Angeles, CA Web: www.netflix.com Company: Netflix Position: Manager, Content Programming Science & Algorithms _Contact_: Apply online. Content Programming In 2017, Netflix will produce over 1,000 hours of Original series, films, stand-up, and documentaries, in addition to licensing thousands...

    https://www.kdnuggets.com/jobs/17/02-27-netflix-manager-content-programming-science-algorithms.html

  • Top Stories, Feb 26 – Mar 4: Introduction to Functional Programming in Python; A Tour of The Top 10 Algorithms for Machine Learning Newbies

    ...jects - Feb 20, 2018. 5 Fantastic Practical Machine Learning Resources - Feb 06, 2018. Introduction to Python Ensembles - Feb 09, 2018. Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch - Feb 20, 2018. Introduction to Functional Programming in Python - Feb 28, 2018. A...

    https://www.kdnuggets.com/2018/03/top-news-week-0226-0304.html

  • R or Python? Consider learning both

    …ou are well versed in programming you might begin thinking of R as a limited programming language. The truth is, R was designed more like a tool with programming capabilities, rather than a programming language. Regarding R as an open source alternative to STATA or SAS would be more appropriate…

    https://www.kdnuggets.com/2016/03/r-python-learning-both-datacamp.html

  • How The Algorithm Economy And Containers Are Changing The Apps

    …mming languages and use different data storage technologies.” Similar to the algorithm economy, containers are like Legos for cloud-based application development. “This changes cloud development practices,” Carlson said, “by putting larger-scale architectures like those used at Facebook and Twitter…

    https://www.kdnuggets.com/2016/02/how-algorithm-economy-containers-are-changing-apps.html

  • Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

    ...tor ML models at scale. Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system. Synapse, a development environment for neural networks and other adaptive systems, supporting the entire development cycle from...

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

  • Precision for Medicine: Data Scientist

    ...following fields: Statistics, Applied Mathematics, Computer Science, Engineering, Data Science 2+ years of experience in front-end and user interface development 2+ years of experience in R programming Proficient in HTML5, CSS3, and JavaScript, and scripting languages (e.g. shell, perl) Experience...

    https://www.kdnuggets.com/jobs/16/07-20-precisionformedicine-data-scientist.html

  • Rapid Python Model Deployment with FICO Xpress Insight

    ...business users and Data Science team Helps Data Science teams rapidly build scalable applications by drag-and-drop without any html/JavaScript or web development knowledge Enables business users to look at early versions of the end-user application and provide feedback on solution design and...

    https://www.kdnuggets.com/2020/08/fico-xpress-insight-python-deployment.html

  • Introducing Brain Simulator II: A New Platform for AGI Experimentation

    ...ed and to mimic the operation of brain areas. These loop internals can be generalized into a group of algorithms that can form a basis for future AGI development.   Download   Anyone interested in Brain Simulator II can follow along or participate in the development process by downloading...

    https://www.kdnuggets.com/2020/04/brain-simulator-new-platform-agi.html

  • SapientNitro: Sr. Manager Marketing Analytics

    ...nalytics) to develop fully informed and holistic marketing strategy   Marketing Strategy & Planning Develop deliverable frameworks and guide development of core marketing strategies, including: Pilot Program Development Customer Segmentation Strategy Sales / Marketing Lifecycle Development...

    https://www.kdnuggets.com/jobs/15/08-07-sapientnitro-sr-manager-marketing-analytics.html

  • Interview: Slava Akmaev, Berg on Healthcare Transparency & Effectiveness using Big Data

    ...aev: Berg is a widely diversified company in healthcare. We have four business divisions that independently focus on areas such as drug discovery and development, detection of novel biomarkers, development and commercialization of diagnostic tests, data analytical work in healthcare, and predictive...

    https://www.kdnuggets.com/2015/03/interview-slava-akmaev-berg-healthcare.html

  • Explainable and Reproducible Machine Learning Model Development with DALEX and Neptune

    ...xplanation charts for every training you run with Neptune + DALEX integration How to compare and debug models you train with explainers With all that information, I hope your model development process will now be more organized, reproducible, and explainable. Happy training!   Jakub Czakon is...

    https://www.kdnuggets.com/2020/08/explainable-reproducible-machine-learning-model-development-dalex-neptune.html

  • American Family Insurance: Analytics Strategy & Integration Director

    ...to collaborate with Strategic Data & Analytics management as well as other business partners internal and external to the division to coordinate development and integration of advanced analytics projects. Ensures analytics strategy, development and integration approach are well-aligned with...

    https://www.kdnuggets.com/jobs/16/05-12-amfam-analytics-strategy-integration-director.html

  • Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Gold BlogMachine Learning & AI Main Developments in 2018 and Key Trends for 2019

    ...ublic discourse on machine learning and AI. Perhaps I’ll annoy some people with this observation, but here’s one reasonable read on 2018: the biggest development was that there were no developments! Of course that’s too simplistic a take, but allow me to unpack the point. A substantial fraction the...

    https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html

  • MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling

    ...will be responsible for data strategy and modeling activities that support both new and existing fraud services initiatives within the fraud product development team in Enterprise Security Solutions (ESS), creating real world, real-time products that address these market challenges. Have you ever...

    https://www.kdnuggets.com/jobs/14/08-08-mastercard-business-leader-product-development-fraud-data-strategy-modeling.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ticipate in the roadmap definition for the team Basic Qualifications Bachelor in Computer Science or related field 4+ years of experience in software development and full product life-cycles Coding skills in Java/C++ coupled with strong base in object-oriented design and development Experience with...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ticipate in the roadmap definition for the team Basic Qualifications Bachelor in Computer Science or related field 4+ years of experience in software development and full product life-cycles Coding skills in Java/C++ coupled with strong base in object-oriented design and development Experience with...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Turbo Charge Agile Processes with Deep Learning

    ...the essence of the approach. The key to leveraging Deep Learning, or more broadly AI, in the workplace is to understand where it fits within an agile development environment. (It is of course obvious that Deep Learning development and operations should work within a continuous integration and...

    https://www.kdnuggets.com/2017/02/turbo-charge-agile-processes-deep-learning.html

  • MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling

    ...will be responsible for data strategy and modeling activities that support both new and existing fraud services initiatives within the fraud product development team in Enterprise Security Solutions (ESS), creating real world, real-time products that address these market challenges. Have you ever...

    https://www.kdnuggets.com/jobs/14/09-20-mastercard-business-leader-product-development-fraud-data-strategy-b.html

  • White House-MIT Big Data Privacy Workshop – Top Researcher Reports

    ...” on March 3, 2014. The event was part of a series of workshops on big data and privacy organized by the MIT Big Data Initiative at CSAIL and the MIT Information Policy Project. The workshop was also the first in a series of events being held across the country in response to President Obama’s call...

    https://www.kdnuggets.com/2014/03/white-house-mit-big-data-privacy-workshop-report.html

  • Wharton: Operations and Information Management Faculty

    ...du/ The Operations and Information Management Department at the Wharton School is home to faculty with a diverse set of interests in decision-making, information technology, information-based strategy, operations management, and operations research. We are seeking applicants for a full-time,...

    https://www.kdnuggets.com/academic/13/09-26-wharton-operations-information-management-faculty.html

  • Privacy Protection and Information Sites

    ...Electronic Privacy Information Center, a public interest research center in Washington, D.C. FTC (Federal Trade Commission) privacy initiatives page Information and Privacy Commisioner/Ontario, CA Junkbusters, a comprehensive collection of information about junk messages and how to stop them...

    https://www.kdnuggets.com/websites/privacy.html

  • Amazon: Machine Learning – Technical Project Manager (TPM)

    ...tomers to understand their requirements and needs, generate ideas, define requirements, create technical specifications, oversee development, quality assurance and product delivery. This is a highly visible role that requires experience working with senior management and technical depth for...

    https://www.kdnuggets.com/jobs/15/06-19-amazon-machine-learning-technical-project-manager-tpm.html

  • Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Silver BlogBest Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools

    ...and the large number of application domains it supports. C++ has both high-level and low-level language features, so it is considered a middle-level programming language. Another application of this language is the development of drivers and software that can directly interact with hardware under...

    https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html

  • Top Handy SQL Features for Data Scientists">Gold BlogTop Handy SQL Features for Data Scientists

    ...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: Is SQL needed to...

    https://www.kdnuggets.com/2019/08/top-handy-sql-feature-data-scientist.html

  • Top SAS Courses Online

    ...ng to get proficient in SAS Base programming. Certified SAS Base Programmer Certification Training (ed2go.com) https://www.ed2go.com/courses/computer-programming/programming-classes/ctp/certified-sas-base-programmer-certification-training This course is a self-paced online course with a 6-month...

    https://www.kdnuggets.com/2018/05/top-sas-courses-online.html

  • Don’t learn Machine Learning in 24 hours

    ...u may come to grips with the syntax, nature, and style of a programming language in 24 hours, but that doesn’t mean you’ve become adept at the art of programming. Because programming isn’t about a language at all. Programming is about intelligent design, a rigorous analysis of time and space...

    https://www.kdnuggets.com/2018/04/dont-learn-machine-learning-24-hours.html

  • Comprehensive Guide to Learning Python for Data Analysis and Data Science

    …data (e.g. R, SAS), Python is the only true general purpose programming language. Check out this infographic for a more thorough comparison. Popular Programming Language: In addition, Python is one the most popular programming languages, when compared with other general purpose languages (e.g….

    https://www.kdnuggets.com/2016/04/datacamp-learning-python-data-analysis-data-science.html

  • From Science to Data Science, a Comprehensive Guide for Transition

    ...s); and given you background you want to be a Type A Data scientist (i.e. more a statistician than a regular programmer), according to this taxonomy. Programming languages Most likely practical programming is the main skill you are missing. For general data science, the standard tools are Python...

    https://www.kdnuggets.com/2016/04/data-science-comprehensive-guide-transition.html

  • The secret sauce for growing from a data analyst to a data scientist

    ...ng how to use Jupyter will be key for a quicker workflow and data/model exploration. Tip 4: Practise practise and practise for stronger better faster programming skills. Because programming gives you magical powers Entering hackathons, participating in kaggle competitions, working on a personal...

    https://www.kdnuggets.com/2019/08/secret-sauce-growing-from-data-analyst-data-scientist.html

  • Top KDnuggets tweets, Sep 07-13: Dask for #Parallel Programming; Computationally generated Average Face

    ...he (Not So) New #DataScientist Venn Diagram https://t.co/TK129EAt7F #DataScience https://t.co/uQ3EwllZlB Most Clicked: Introducing Dask for #Parallel Programming: Interview with Project Lead Developer @mrocklin https://t.co/6JTaOBBW5z https://t.co/i7wgGv1mDJ Top 10 most engaging Tweets Not so...

    https://www.kdnuggets.com/2016/09/top-tweets-sep07-13.html

  • How to Learn Python for Data Science the Right Way">Gold BlogHow to Learn Python for Data Science the Right Way

    ...n learning the modules and libraries in Python to perform these tasks. Follow this incremental steps to learn Python for data science. Configure your programming environment   The Jupyter Notebook is a powerful programming environment for developing and presenting data science projects. The...

    https://www.kdnuggets.com/2019/06/python-data-science-right-way.html

  • KDnuggets™ News 20:n35, Sep 16: Data Science Skills: Core, Emerging, and Most Wanted; Free From MIT: Intro to CS, Programming in Python

    ...ures Data Science Skills: What is core, what is emerging, and what skill the readers most want to learn? Free From MIT: Intro to Computer Science and Programming in Python 8 AI/Machine Learning Projects To Make Your Portfolio Stand Out Statistics with Julia: The Free eBook AI Papers to Read in 2020...

    https://www.kdnuggets.com/2020/n35.html

  • The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

    ...iction – it’s already happening. And its continued development is, IMHO, not only the most likely, but also the most beneficial route forward for the development of mankind. But will that further development of the merging of man and machine go so far as to reach the point of technological...

    https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

  • Boeing: Big Data Architect – Level 4/5

    .... 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/15/11-14-boeing-big-data-architect.html

  • Sr. Capability Implementation Manager, Machine Learning

    ...ent responses and other educational texts into ETS Capabilities. Apply technical and software engineering skills in executing projects and capability development in support of educational products and services. Incorporate best practices in machine learning into the development and evaluation...

    https://www.kdnuggets.com/jobs/13/06-06-ets-sr-capability-implementation-manager-machine-learning.html

  • United Nations University: Data Science Lead

    ...and will lead on the data aspects of the project. She/he will be responsible for managing relationships with external data providers; overseeing the development of data handling, storage, integration, and presentation within the project; and will lead in the development of data-related analytical...

    https://www.kdnuggets.com/jobs/17/05-25-united-nations-university-data-science-lead.html

  • The Internet of Things in the Cloud

    ...tic Compute Cloud (EC2), which uses the Xen open-source hypervisor to create and manage virtual machines. Platform as a Service (PaaS): PaaS provides development environments for creating cloud-ready business applications. It provides a deeper set of capabilities comparing to IaaS, including...

    https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html

  • DevOps for Data Scientists: Taming the Unicorn

    ...t data science and Data Scientists are not experts in DevOps and IT. Hence, communication is key for a successful business outcome.   Additional Information   Software Development Design Principles When people start out as self-taught programmers, a lot of the times we think about...

    https://www.kdnuggets.com/2018/07/devops-data-scientists-taming-unicorn.html

  • From Insight-as-a-Service to Insightful Applications

    ...er storage, abundant and cheap processing power and networking bandwidth, and cloud-enabled separation of storage and computing have helped drive the development of insightful applications. Despite our improving understanding of insight generation, the technology advances we have made, and the...

    https://www.kdnuggets.com/2016/05/simoudis-insight-service-insightful-applications.html

  • Top 8 Data Science Use Cases in Gaming

    ...s quite widespread in the virtual world of gaming. Payment fraud is also quite often in gaming. The fraudsters tend to create special bots to get the information necessary for payment. Therefore, gaming companies need to assure a high level of security to the player's personal information and...

    https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html

  • Accenture: Financial Services Analytics Senior Manager

    ...ent, selling and proposal writing for analytics within financial services industry Value Proposition Development Solution Configuration Business Case Development Proposal Development Solution Realization Approach Development Proven problem analysis and problem solving skills Strong customer...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-financial-services-analytics-senior-manager.html

  • Unsupervised Investments (II): A Guide to AI Accelerators and Incubators

    ...ly close to the AI development: Industrio (Italy), a pure hardware accelerator, and Buildit (Estonia), an ‘accelerator of Things’. Summary of all the information for the accelerators listed above (only for those ones I could find information about). If you are interested in knowing why some...

    https://www.kdnuggets.com/2017/05/unsupervised-investments-guide-ai-accelerators-incubators.html

  • Equifax: Senior Director, Search-Match & Data-Linking

    ...rategies that solve customer business problems Design innovative search-match solutions and lead the development of those solutions (Proof of Concept development, business case development, feasibility analysis, prototyping through full new product deliverables) Internal Business Development – work...

    https://www.kdnuggets.com/jobs/16/10-14-equifax-director-search-data-linking.html

  • Bot or Not: an end-to-end data analysis in Python

    …cess the data, develop, and test a classifier all with Python. We’ve also seen that there’s room for improvement. Utilities for fast, iterative model development are rich in R’s caret package, and caret serves as a great model for future development in scikit-learn. Bio: Erin Shellman is a…

    https://www.kdnuggets.com/2015/11/bot-not-data-analysis-python.html

  • Amazon: Business Intelligence Engineer, Mobile Business Development

    ...obile site/application traffic, understand customer behavior, feature performance and accurately calculate ROI across multiple marketing and Business Development channels. As a BI Engineer working on the analytics platform, you will be developing and supporting the analytic technologies to give our...

    https://www.kdnuggets.com/jobs/14/04-17-amazon-bi-engineer-mobile-business-development.html

  • Walmart: Systems Analyst (Developer, Data Science)

    ...mentation on Hadoop Experience in Spark and NoSQL 3 years experience leading a technical team. 6 years of development experience in C/C++. 6 years of development experience in Java. 6 years of development experience in Microsoft .Net. 6 years of development experience in SQL technology. 6 years of...

    https://www.kdnuggets.com/jobs/17/11-03-walmart-systems-analyst.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Big Data and Human Rights – A Complex Affair

    ...uman Right. AR: Q3. In your 2012 paper "Big Data for Development: Challenges and Opportunities", you mentioned that in order for Big Data to work for development, we need to become "Sophisticated Users of Information". Can you elaborate on that? EL: As you point out that was in 2012—actually...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-data-pop-alliance-human-rights.html

  • Vencore: Software Engineer, Machine Learning

    ...), Python development in a Linux environment Desired Skills: Algorithm development Statistics/Biostatistics/Operations Research background R Language Development Configuration management: SVN, Github Development environments: RStudio, Jupyter, Eclipse, Spyder, Anaconda Machine learning frame works:...

    https://www.kdnuggets.com/jobs/16/11-23-vencore-software-engineer-machine-learning.html

  • Kobielus Predictions for Data Science in 2017

    ...sharing paradigm; maintain auditable project logs for algorithmic transparency, and enforce robust tracking and governance of data, models, and other development artifacts. Within increasingly federated data-science development teams, more training data curation will be sourced from open...

    https://www.kdnuggets.com/2016/12/ibm-kobielus-predictions-data-science-2017.html

  • Marketing Analytics for Data Rich Environments

    ...e for online behaviors. The IoT will change the way people interact with their man-made environment, become a major source of new product and service development, and generate massive data in the process. In addition, the rapid development towards NUI enables people to interact with their devices...

    https://www.kdnuggets.com/2017/07/marketing-analytics-data-rich-environments.html

  • Webinar: Credit Scorecard Development

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar2.html

  • AT&T: Lead Product Development Mgr, Big Data Algorithms and Insights

    ...g insights with tremendous value. As Lead product Development Manager for algorithms and insights, you will work closely with the Director of Product Development to lead all aspects of advanced analytics, novel algorithms, interactions with scientific teams currently working on product definitions,...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-mgr-big-data-algorithms-insights.html

  • Customer-Driven Product Development for the Future, June 6 webinar

    ...products to meet the future needs of your customer and thrive in the future of insurance. Join the webinar: Balancing Risk: Defining Value in Product Development Innovation for Customer and Carrier (June 6th, 10am CT). Register for this free webinar for strategies to achieve rapid and...

    https://www.kdnuggets.com/2018/05/insurancenexus-balancing-risk-value-innovation-june-webinar.html

  • Webinar: Credit Scorecard Development, Sep 26

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar.html

  • Top 10 Technology Trends for 2020">Silver BlogTop 10 Technology Trends for 2020

    ...ls such as voice, image, and text as input, and integrates perception and cognition technologies to achieve a multi-dimensional deep understanding of information. With the rapid development and large-scale application of computing vision, speech, natural language understanding, and knowledge graph,...

    https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html

  • 9 Must-have skills you need to become a Data Scientist, updated">Platinum Blog9 Must-have skills you need to become a Data Scientist, updated

    ...n Coding Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O'Reilly use Python as their major programming language....

    https://www.kdnuggets.com/2018/05/simplilearn-9-must-have-skills-data-scientist.html

  • Event Processing: Three Important Open Problems

    ...Storm, Heron, etc. Figure 2 shows a breakdown of the usage of programming languages by event processing software. Figure 2: Event Processing Software Programming Language usage. (a) aggregated view (b) breakdown of the programming languages used in different event processing systems. Second, they...

    https://www.kdnuggets.com/2018/05/event-processing-important-open-problems.html

  • 10 More Free Must-Read Books for Machine Learning and Data Science">Platinum Blog10 More Free Must-Read Books for Machine Learning and Data Science

    ...te the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and...

    https://www.kdnuggets.com/2018/05/10-more-free-must-read-books-for-machine-learning-and-data-science.html

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