Search results for Cryptography Cryptanalytics Development Programming

Found 227 documents, 10623 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

• Introduction to Functional Programming in Python">Introduction 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

• 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

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

• 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

• 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...

• 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">Object-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

• 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

• 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

• Data Science for Managers: Programming Languages">Data 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

• 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

• Monash University: Lecturer / Sr Lecturer – Cryptography [Melbourne, Australia]

...rked on an exciting journey to become the best faculty of IT in the world. A key component of that is the strong team of cybersecurity, in particular cryptography. The Monash cryptography research team mainly focuses on the following areas: Post-quantum cryptography; Cloud and database security...

https://www.kdnuggets.com/jobs/19/07-29-monash-lecturer-cryptography.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

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

• 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

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

...offers strategic and tactical analytic expertise for data analysis, predictive modeling, data mining, and optimization. Machinalis, combines software development know-how with deep technical expertise Data Science. Cordoba, Argentina. Machine Analytics, provides analytics and data fusion...

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

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

• 6 Reasons Why Python Is Suddenly Super Popular">6 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

• 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

• 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

• 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

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

• 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

• Strata SF day 1 Highlights: from Edge to AI, scoring AI projects, cyberconflict, cryptography

...the network to accept watermarks (planted adversarial examples). She concluded with the assertion that there is a real opportunity for developing new cryptography motivated by machine learning, and new machine learning motivated by cryptography. Kurt Brown, Director, Data Platform, Netflix gave an...

https://www.kdnuggets.com/2019/04/strata-san-francisco-day-1-highlights.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

• 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...

• 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

• Top Machine Learning Software Tools for Developers">Top 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...

https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.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...

• New Online Data Science Tracks for 2017">New 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…

https://www.kdnuggets.com/2017/04/new-online-data-science-tracks-2017.html

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

• 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

• Getting Started with R Programming

...phical analysis. It is therefore commonly used in statistical inference, data analysis and Machine Learning. R is currently one of the most requested programming language in the Data Science job market (Figure 1). Figure 1: Most Requested programming languages for Data Science in 2019 [1]   R...

https://www.kdnuggets.com/2020/02/getting-started-r-programming.html

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

...r time periods). The best way to generalize our code is to turn it into a data pipeline. A data pipeline is designed using principles from functional programming, where data is modified within functions and then passed between functions. Here’s a first iteration of this pipeline using a...

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

• Python Data Science for Beginners">Python 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

• 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/15/07-08-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/15/09-14-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

• 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

• 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

• Why Python is One of the Most Preferred Languages for Data Science?

..., programming expertise is also one of the must-have skills an aspiring data scientist needs to acquire. Let’s dig deeper to unearth the most popular programming languages in the data science community!   Top 3 programming languages most used by data scientists As revealed by the findings of a...

https://www.kdnuggets.com/2020/01/python-preferred-languages-data-science.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

• 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

...ace designer to come from data to communicated solution. Therefore, we expect practical working experience in the area of data analytics and software development projects – preferable in an industrial research and development environment. We expect you to have excellent cross-cultural written and...

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

• 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

• 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

• Top 10 Technology Trends of 2019">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...

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

...rallel training of the AI models that are pushed down to the edges. What key trends do you see in 2018? In 2018, we’ll see the data-science/app-development community converge on an open AI development framework that wraps a common abstraction layer around modeling tools such as TensorFlow,...

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

• 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

• 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

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

...ata scientists. Programming Data Science is an exciting field to work in, as it combines advanced statistical and quantitative skills with real-world programming ability. Depending on your background, you are free to choose a programming language to your liking. The most popular in the Data Science...

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

• How to Become a Data Scientist: The Definitive Guide">How 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

• 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

• 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

• 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

• 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

• 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....

• 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

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

...17;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

• 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,...

• 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

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

...Lecturer / Senior Lecturer – Cryptography at Monash University, Melbourne, Australia. – Jul 29, 2019. Seeking a Lecturer / Sr Lecturer in Cryptography. The Monash cryptography research team mainly focuses on the following areas: Post-quantum cryptography; Cloud and database security;...

• 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

• 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

...sp;|  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

• 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

• 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...

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

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

• 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

• Data Science For Our Mental Development

...designing AI products, read my UX Design Guide for Data Scientists and AI Products. In this blog, I aim to generalize how AI can help us with mental development in the future as well as discuss some of the present-day solutions.   Healthcare   Patients lying to their doctors is not...

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

...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...

• 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...

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

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

• Equifax: Senior Statistical Modeler

...el 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...

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

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

...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...

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

• Netflix: Manager, Content Programming Science & Algorithms

...s 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

...hey try to distill immensely complex subject areas into comprehensible bite-size pieces. Let’s begin!   Linear Programming & NonLinear Programming: Example: Solver/ SolverTable within Excel Linear programming is an optimization method that allows users to maximize (or minimize) an...

• Hiring Data Scientists: What to look for?

...cular business problem. In order to successfully perform these steps, programming needs to be done. Hence, a good data scientist should possess sound programming skills in e.g. R, Python, SAS … The programming language itself is not that important as such, as long as he/she is familiar with the...

https://www.kdnuggets.com/2014/09/hiring-data-scientist-what-to-look-for.html

• Interview: Peter Alvaro, UC Berkeley, on Managing Asynchrony and Partial Failure

...PA: There is so much important work to be done. Here are just a few things that I can’t wait to get started on. Current debuggers, like a majority of programming languages, still reflect a sequential, single-site model of computation. Just as I explored disorderly programming as a way of raising...

https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-asynchrony-partial-failure.html

• New Poll: Primary Programming Language for Analytics, Data Mining, Data Science?

By Gregory Piatetsky, @kdnuggets. While Data Science platforms are getting easier to use, data scientists frequently need to go beyond them and actually code in a lower-level language for their tasks. Recent KDnuggets Analytics, Data Mining Software Poll showed that R and Python are the top 2 such...

https://www.kdnuggets.com/2015/06/poll-programming-language-analytics-data-mining-data-science.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

• 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

• 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

• 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

• 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

• 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

...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...

...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...

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

• 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

• 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...

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

• Top Handy SQL Features for Data Scientists">Top 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

• 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

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

• 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

• 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

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

• 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

• Bayer: Principal Clinical Data Manager [Whippany, NJ]

...the corresponding activities of the Early Clinical Team and Clinical Project Team; Ensure smooth phase-transitioning of project between research and development phase in P&O (Portfolio & Operations), is instrumental to facilitate data access and exchange between research and development...

https://www.kdnuggets.com/jobs/19/06-24-bayer-principal-clinical-data-manager.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

• 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

...n people start out as self-taught programmers, a lot of the times we think about creating an application that simply… How to make your Software Development experience… painless…. Working at all forms of organizations (from large software development oriented to niche start ups to academic...

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