# Tag: R

**Web Scraping with R: Online Food Blogs Example**- Jun 29, 2017.

We consider scraping data from online food blogs to construct a data set of recipes with ingredients, nutritional information and more, and do exploratory analysis which provides tasty insights.**Deep Learning with R + Keras**- Jun 27, 2017.

Keras has grown in popularity and supported on a wide set of platforms including Tensorflow, CNTK, Apple’s CoreML, and Theano. It is becoming the de factor language for deep learning.**Webinar: Forecast Demand in R With DataScience.com + RStudio, June 15**- Jun 13, 2017.

DataScience.com and RStudio are co-hosting a free webinar on June 15 to showcase how RStudio’s suite of tools for R seamlessly integrate with the DataScience.com Platform.**DataScience.com and RStudio Have Partnered to Seamlessly Integrate RStudio Suite into the DataScience.com Platform**- Jun 9, 2017.

With the RStudio integration, DataScience.com customers are able to write and run code in RStudio while benefitting from additional features of the platform: on-demand infrastructure, pre-configured environments, secret management, and more.**New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll**- May 22, 2017.

Python caught up with R and (barely) overtook it; Deep Learning usage surges to 32%; RapidMiner remains top general Data Science platform; Five languages of Data Science.

**KDnuggets™ News 17:n19, May 17: Guerrilla Guide to Machine Learning with R; 5 Machine Learning Projects You Can’t Overlook**- May 17, 2017.

The Guerrilla Guide to Machine Learning with R; 5 Machine Learning Projects You Can No Longer Overlook, May; The Two Phases of Gradient Descent in Deep Learning; HDFS vs. HBase: All you need to know; Must-Know: What are common data quality issues for Big Data and how to handle them?**Join 1 Million Others on DataCamp (50% off until May 23)**- May 16, 2017.

DataCamp is celebrating 1 millions learners on its platform and is offering 50% off for unlimited access until May 23. Learn R and Python for data science interactively at your own pace.**The Guerrilla Guide to Machine Learning with R**- May 11, 2017.

This post is a lean look at learning machine learning with R. It is a complete, if very short, course for the quick study hacker with no time (or patience) to spare.**New Online Data Science Tracks for 2017**- Apr 17, 2017.

In 2017 there are many new and revamped data science tracks that are much more comprehensive for beginners than ever before. The tracks are designed to give you the skills you need to grab a job in data science, and some even have a job guarantee.**KDnuggets™ News 17:n13, Apr 5: What makes a great data scientist? Best R Packages for Machine Learning**- Apr 5, 2017.

Also Best R Packages for Machine Learning; Deep Stubborn Networks - A Breakthrough Advance Towards Adversarial Machine Learning; A Short Guide to Navigating the Jupyter Ecosystem.**The Best R Packages for Machine Learning**- Mar 30, 2017.

There is no doubt R is language of choice for the majority of data scientists who want to understand data, especially those looking to leverage its great machine learning packages.**Building Regression Models in R using Support Vector Regression**- Mar 8, 2017.

The article studies the advantage of Support Vector Regression (SVR) over Simple Linear Regression (SLR) models for predicting real values, using the same basic idea as Support Vector Machines (SVM) use for classification.**Gartner Data Science Platforms – A Deeper Look**- Mar 3, 2017.

Thomas Dinsmore critical examination of Gartner 2017 MQ of Data Science Platforms, including vendors who out, in, have big changes, Hadoop and Spark integration, open source software, and what Data Scientists actually use.**KDnuggets™ News 17:n08, Mar 1: Deep Learning Frameworks Dissected; Gartner Magic Quadrant for Data Science Platforms**- Mar 1, 2017.

The Anatomy of Deep Learning Frameworks; Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers; Data Science vs Fake News Contest; An Overview of Python Deep Learning Frameworks; Moving from R to Python: The Libraries You Need to Know**Moving from R to Python: The Libraries You Need to Know**- Feb 24, 2017.

Are you considering making a move from R to Python? Here are the libraries you need to know, how they stack up to their R contemporaries, and why you should learn them.**Top R Packages for Machine Learning**- Feb 3, 2017.

What are the most popular ML packages? Let's look at a ranking based on package downloads and social website activity.**Introduction to Forecasting with ARIMA in R**- Jan 16, 2017.

ARIMA models are a popular and flexible class of forecasting model that utilize historical information to make predictions. In this tutorial, we walk through an example of examining time series for demand at a bike-sharing service, fitting an ARIMA model, and creating a basic forecast.**The Most Popular Language For Machine Learning and Data Science Is …**- Jan 11, 2017.

When it comes to choosing programming language for Data Analytics projects or job prospects, people have different opinions depending on their career backgrounds and domains they worked in. Here is the analysis of data from indeed.com with respect to choice of programming language for machine learning and data science.**A Non-comprehensive List of Awesome Things Other People Did in 2016**- Jan 10, 2017.

A top statistics professor and statistical researcher reflects on a number of awesome accomplishments by individuals in, and related to, the fields of statistics and data science, with a focus on the world of academia but with resonance far beyond.**Over 600 data science, machine learning, Big Data eBooks/videos for only $5 (until Jan 9)**- Dec 22, 2016.

Packt have more than 600 data science, analysis, machine learning and Big Data eBooks and video courses. And until Jan 9, 2017 every single one is available for just $5.**3 ways to learn Data Science at Statistics.com**- Dec 21, 2016.

Get the personal touch you need to deepen your learning with Statistics.com classes that are small, rich and engaging with readings, videos, quizzes, homework, and practical projects, taught online by leading instructors.**50+ Data Science, Machine Learning Cheat Sheets, updated**- Dec 14, 2016.

Gear up to speed and have concepts and commands handy in Data Science, Data Mining, and Machine learning algorithms with these cheat sheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark, Matlab, and Java.**R-Brain Platform for Data Science: R, Python, sharing, security, and marketplace**- Dec 7, 2016.

R-Brain IDE enables data scientists to use both R and Python with full language support. It enables sharing and has a marketplace for models. Try it free.**RCloud – DevOps for Data Science**- Nov 28, 2016.

After almost two decades of software development, term – DevOps was coined and officially given importance to collaboration between development and deployment of software systems. In this early stage of Data Science field, use of standardized and empirical practises like DevOps will definitely speed up its evolution.**Introduction to Machine Learning for Developers**- Nov 28, 2016.

Whether you are integrating a recommendation system into your app or building a chat bot, this guide will help you get started in understanding the basics of machine learning.**KDnuggets™ News 16:n40, Nov 9: Trump, Failure of Prediction, and Lessons for Data Scientists; 8 Frustrating Things For R Users When Learning Python**- Nov 9, 2016.

We examine the lessons for Data Scientists from the shocking and surprising win of Donald Trump; 8 frustrating things for R user when learning Python; Using Predictive Algorithms to Track Real Time Health Trends.**Eight Things an R user Will Find Frustrating When Trying to Learn Python**- Nov 2, 2016.

Are you an R user considering learning Python? Here's some insight into what you may be up against, and what, specifically, you may find frustrating. But don't worry, it's not all terrible.**Data Science 101: How to get good at R**- Nov 1, 2016.

Everybody talks about R programming, how to learn, how to be good at it. But in this article, Ari Lamstein tells us his story about why and how he started with R along with how to publish, market and monetise R projects.**Top 10 Data Science Videos on Youtube**- Oct 17, 2016.

Learning and the future are the key topics in the recent Youtube videos on Data Science. The main questions revolve around: “how to become a Data Scientist”, “what is a data scientist”, and “where data science is going”. But why there is so little explanation of data science to the masses?**Rexer Analytics Data Science Survey Highlights**- Oct 14, 2016.

Regression, Decision Trees, and Cluster analysis remain the most commonly used algorithms in the field, R continues to ascend, job satisfaction remains high, but customer understanding still needs improvement.**The R Graph Gallery Data Visualization Collection**- Oct 13, 2016.

Welcome to the R graph gallery, a collection of R graph examples, organized by chart type, searchable by R function, with reproducible code and explanation.**The Trump Phenomenon: A Twitter Based Recount**- Sep 26, 2016.

This analysis uses Twitter data to perform a sentiment analysis to help determine how people truly feel about Trump. We found that while his fans have supported him throughout his entire campaign, more and more Twitter users have started to grow tired of Trump’s attitude.**Webinar: Breaking Data Science Open, Sep 15**- Sep 12, 2016.

Learn how to drive collaboration and data science teamwork; how to mitigate legal risk through open source assurance and appropriate package selection, and how to democratize innovation through broad access to open data science tools.**Analytics, Security, Deep Learning, IoT, Data Science Online Courses**- Aug 20, 2016.

Upcoming online courses include : Statistical and machine learning methods for detecting anomalies, identifying images, and processing data from sensors; Deep Learning; Internet of Things (IoT): Programming for Analytics; and Meta Analysis in R.**KDnuggets™ News 16:n30, Aug 17: Why Deep Learning Works; Neural Networks with R; Central Limit Theorem for Data Science**- Aug 17, 2016.

3 Thoughts on Why Deep Learning Works So Well; A Beginner's Guide to Neural Networks with R!; Central Limit Theorem for Data Science; Cartoon: Make Data Great Again**Understanding the Empirical Law of Large Numbers and the Gambler’s Fallacy**- Aug 12, 2016.

Law of large numbers is a important concept for practising data scientists. In this post, The empirical law of large numbers is demonstrated via simple simulation approach using the Bernoulli process.**A Beginner’s Guide to Neural Networks with R!**- Aug 11, 2016.

In this article we will learn how Neural Networks work and how to implement them with the R programming language! We will see how we can easily create Neural Networks with R and even visualize them. Basic understanding of R is necessary to understand this article.**Short course: Statistical Learning and Data Mining IV, Washington, DC, Oct 19-20**- Aug 8, 2016.

This new two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, including sparse models and deep learning.**Getting Started with Data Science – R**- Aug 3, 2016.

A great introductory post from DataRobot on getting started with data science in R, including cleaning data and performing predictive modeling.**SAS vs R vs Python: Which Tool Do Analytics Pros Prefer?**- Jul 22, 2016.

There are lots of flame wars involving different data science and analytics tools... but this isn't one of them. Check out the quantitative results and analysis of a Burtch Works survey on the subject.**Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists**- Jul 7, 2016.

Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving.**What Big Data, Data Science, Deep Learning software goes together?**- Jun 14, 2016.

We analyze the associations between top Data Science tools, Commercial vs Free/Open Source, rank tools on R vs Python bias, find tools more associated with Big Data, those more associated with Deep Learning, and uncover strong regional differences.**R, Python Duel As Top Analytics, Data Science software – KDnuggets 2016 Software Poll Results**- Jun 6, 2016.

R remains the leading tool, with 49% share, but Python grows faster and almost catches up to R. RapidMiner remains the most popular general Data Science platform. Big Data tools used by almost 40%, and Deep Learning usage doubles.**Open Data Science in Collaborative Workflows – IBM June 6 event**- Jun 3, 2016.

On June 6, IBM will share important announcements for making R, Spark, and open data science a sustainable business reality at the Apache Spark Maker Community Event in San Francisco, Attend in person or watch live.**Boosting Productivity of the Next-Generation Data Scientist: IBM June 6 event**- May 20, 2016.

On June 6, IBM will share important announcements for making R, Spark, and open data science a sustainable business reality at the Apache Spark Maker Community Event in San Francisco, Attend in person or watch live.**The MBA Data Science Toolkit: 8 resources to go from the spreadsheet to the command line**- Apr 18, 2016.

A great guide for the MBA, or any relatively non-technical convert, for getting comfortable with the command line and other technical skills required to excel in data science.**From Science to Data Science, a Comprehensive Guide for Transition**- Apr 12, 2016.

An in-depth, multifaceted, and all-around very helpful roadmap for making the switch from 'science' to 'data science,' yet generally useful for data science beginners or anyone looking to get into data science.**Workshop opportunities – Hadoop, R, Predictive Modeling**- Apr 11, 2016.

Spots are limited for the upcoming training workshops at Predictive Analytics World for Business, June 20-23, 2016 in Chicago. Check the new Hadoop workshop and instruction about advanced methods, modeling methods, R, and more – reserve your spot today.**Deep Learning for Internet of Things Using H2O**- Apr 6, 2016.

H2O is feature-rich open source machine learning platform known for its R and Spark integration and it’s ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.**KDnuggets™ News 16:n11, Mar 30: R Learning Path in 7 Steps; Top 10 Data Science Resources; HPE Haven OnDemand vs Azure**- Mar 30, 2016.

R Learning Path: From beginner to expert in R in 7 steps; Top 10 Data Science Resources on Github; Cartoon: Citizen Data Scientist At Work; HPE Haven OnDemand and Microsoft Azure Machine Learning: Power Tools for Developers and Data Scientists**PASS Hands-on Analytics Training on Power BI, R, Dataviz, Excel, May 2-4, San Jose**- Mar 28, 2016.

Get first-rate business analytics training at the PASS Business Analytics Conference, May 2-4, San Jose. Check highlights from our unique tracks that follow the Analyst Journey and cover topics like Power BI, R, Data Visualization, Advanced Analytics for Excel and more.**HR Analytics Starter Kit – Intro to R**- Mar 28, 2016.

We review tools to help you start performing HR analytics with a focus on R platform, and providing useful examples for the HR and Workforce analytics using R.**Data Science Tools – Are Proprietary Vendors Still Relevant?**- Mar 25, 2016.

We examine and quantify the dramatic impact of open source tools like R and Python on SAS, IBM, Microsoft, and other proprietary Data Science vendors. We also investigate how open source tools were faring against each other, which are growing, which are falling, and look R versus Python debate.**R Learning Path: From beginner to expert in R in 7 steps**- Mar 23, 2016.

This learning path is mainly for novice R users that are just getting started but it will also cover some of the latest changes in the language that might appeal to more advanced R users.**New KDnuggets Tutorials Page: Learn R, Python, Data Visualization, Data Science, and more**- Mar 16, 2016.

Introducing new KDnuggets Tutorials page with useful resources for learning about Business Analytics, Big Data, Data Science, Data Mining, R, Python, Data Visualization, Spark, Deep Learning and more.**Journey to Open Data Science, March 23 Webinar**- Mar 15, 2016.

Learn how to drive collaboration and teamwork through open data science; mitigate legal risk through indemnification and appropriate package selection; bring advanced analytics to Excel-loving analysts with AnacondaXL.**R or Python? Consider learning both**- Mar 8, 2016.

The key to become a data science professional is in understanding the underlying data science concepts and work towards expanding your programming toolbox as much as you can. Hence, one should understand when to use Python and when to pick R, rather mastering just one language.**Top KDnuggets tweets, Feb 29 – Mar 06: Data Science Process; Wisdom of Crowds fails to solve this simple puzzle**- Mar 7, 2016.

Wisdom of Crowds fails to solve this simple #math #puzzle ; #DataScience Process - the work flow of a data scientist; R is the fastest-growing language on #StackOverflow; @DeepDrumpf #DeepLearning #Twitterbot imitates #DTrump, more plausible than real one.**Online Courses, from basic statistics to Big Data and Analytics, from Statistics.com**- Feb 15, 2016.

Statistics.com offers a rich array of online courses to accelerate your data science career or help upgrade the skills of your Big Data team. Small classes, not MOOCs, taught by top instructors - people who write the textbooks and have real industry experience.**Simplilearn Special: 30% off on Big Data and Analytics courses**- Feb 2, 2016.

Get access to Simplilearn R, Big Data, Hadoop and other Data Science-related courses at unbeatable prices with code GetAhead. This offer good till 7 Feb, 2016.**Top KDnuggets tweets, Jan 11-24: Why R Users will inevitably become #Bayesians; Is #Quran really more violent that #Bible?**- Jan 25, 2016.

TextAnalytics examines: Is #Quran really more violent that #Bible? Why R Users will inevitably become #Bayesians; Next #MachineLearning problem: what to do with 80% accurate algorithm? ;Learning to Code #NeuralNetworks #MachineLearning Tutorial;**Climate Change, Clearly Visualized**- Jan 13, 2016.

Global warming has been argued in depths and breadths and arguments for and against are championed too.Here, with a simple data science we obtained a simple (and increasingly accepted) conclusion: the global warming is real.**Predict. Share. Deploy. With Open Data Science – Jan 20 Webinar**- Jan 12, 2016.

Building, tuning, sharing, deploying, and scaling predictive models is challenging, and rarely covered in statistics class. Learn how to make data science work in the real world in this webinar.**A Non-comprehensive List of Awesome Things other People Did in 2015**- Jan 9, 2016.

A top statistics professor and statistical researcher reflects on a number of awesome accomplishments by individuals in, and related to, the fields of statistics and data science, with a focus on the world of academia but with resonance far beyond.**Portable Format for Analytics: moving models to production**- Jan 5, 2016.

There are many ways to compute the best solution to a problem, but not all of them can be put into production. The Portable Format for Analytics (PFA) provides a way of formalizing and moving models.**Top KDnuggets tweets, Dec 21-27: “Learn #Python” Overtakes “Learn #Java”; Improve Machine Learning using how children learn**- Dec 28, 2015.

"Learn #Python" Overtakes "Learn #Java" on Google Trends ; R is the fastest-growing language on StackOverflow; More #DataScience #Humor and #Cartoons; The Star Wars Social Network - who is the central character?**Top KDnuggets tweets, Dec 07-13: 50 Useful Machine Learning and Prediction APIs; 35 R Job Interview Questions, Answers**- Dec 14, 2015.

R Programming: 35 Job #Interview Questions and Answers; A Look into #MachineLearning First Cheating #Scandal; The current state of #machine #intelligence 2.0 ; #Dilbert Dark #humor on combining #DNA tests and #Bevaviour #Predictions;**R Style Ninjas: New Lifestyle Site for R Enthusiasts**- Dec 11, 2015.

New R themed apparel site with several designs generated from R data visualizations. A portion of each purchase goes toward supporting R development.**Using Python and R together: 3 main approaches**- Dec 10, 2015.

Well if Data Science and Data Scientists can not decide on what data to choose to help them decide which language to use, here is an article to use BOTH.**Top /r/DataScience Posts, November: Open source Plot.ly, Pokemon (?), Social analysis with R**- Dec 3, 2015.

November on /r/DataScience: Plot.ly is open sourced, Pokemon and Big Data games, a new social network analysis package for R, insider information on landing a Google Data Scientist job, and a free data science curriculum.**Hackerday – Stay Updated in your Career through Hands-On Projects**- Nov 19, 2015.

Hackerday is a platform at DeZyre – which allows you to come together as a group, code and work on day long hackathons, where you will be guided by an industry expert, as you are coding. Next Hackerday session Nov 21.**FlyElephant supports R, Python, and public API**- Nov 9, 2015.

FlyElephant is the Platform-as-a-Service for data analysis and simulations of processes. It supports elastic multi-core systems, HPC and GPU clusters, R, Python, and more. Meet CEO Dmitry Spodarets in Silicon Valley until Nov 12 and in Austin, Nov 13 to Nov 20.**Topological Data Analysis – Open Source Implementations**- Nov 6, 2015.

Topological Data Analysis (TDA) is making waves in the analytics community lately, but are there open source options available?**Integrating Python and R, Part 2: Executing R from Python and Vice Versa**- Oct 30, 2015.

The second in a series of blog posts that: outline the basic strategy for integrating Python and R, we will concentrate on how the two scripts can be linked together by getting R to call Python and vice versa.**Integrating Python and R into a Data Analysis Pipeline, Part 1**- Oct 29, 2015.

The first in a series of blog posts that: outline the basic strategy for integrating Python and R, run through the different steps involved in this process; and give a real example of how and why you would want to do this.**Microsoft: R Data Scientist..**- Oct 27, 2015.

Are you passionate about R? Use it to solve real-world analysis and predictive modeling problems? Contribute packages and improvements to CRAN? If yes, talk to us about joining Microsoft Azure ML Data Science team.**Data Science Programming: Python vs R**- Oct 22, 2015.

With every industry generating massive amounts of data – the need to crunch data requires more powerful and sophisticated programming tools like Python and R language.**DistrictDataLabs Courses on Data Mining, Machine Learning, R, NLP, Social Media, and more**- Oct 17, 2015.

District Data Labs upcoming workshops and courses include Data Mining & Machine Learning with R, Building a Django Data Product, Analyzing Social Media Data with R, and Natural Language Processing with R.**SFBayACM Silicon Valley Data Science Camp, Oct 24 2015**- Oct 16, 2015.

This is a great (almost free = $5) opportunity to learn about Data Science and connect with others. SF Bay ACM annual Data Science Camp combines keynote, optional tutorial, and sessions.**Top KDnuggets tweets, Oct 6-12: Big innovations in Data Science yet to come; 5 steps to learn Data Science**- Oct 13, 2015.

Big innovations in #DataScience yet to come: new #algorithms, data, new thinking; 5 steps to learn #DataScience: 1. Learn to love data; Why Tracy-Widom Mysterious Statistical Law so common - Phase transitions; Best of /r/MachineLearning in September.**R vs Python: head to head data analysis**- Oct 13, 2015.

The epic battle between R vs Python goes on. Here we are comparing both of them in terms of generic tasks of data scientist’s like reading CSV, finding data summary, PCA, model building, plotting, and many more.**Top KDnuggets tweets, Sep 29 – Oct 5: Top 5 arXiv Deep Learning Papers, Explained**- Oct 6, 2015.

Crushed it! Useful advice for landing a data science job; Top 5 arXiv Deep Learning Papers, Explained; 30 best HBR articles; Researcher who broke Netflix Prize to find if data is truly anonymized w. grant from Google.**Top /r/MachineLearning Posts, September: Implement a neural network from scratch in C++**- Oct 6, 2015.

Neural network in C++ for beginners, Chinese character handwriting recognition beats humans, a handy machine learning algorithm cheat sheet, neural nets versus functional programming, and a neural nets paper repository.**Dataiku Data Science Studio, now also runs on Apache Spark**- Sep 29, 2015.

Dataiku Data Science Studio version 2.1 has many useful features for Data Scientists, including integration with Apache Spark.**Harness the Power of Your Data, See Anaconda In Action at Strata NYC**- Sep 25, 2015.

Team Anaconda will be at the Strata + Hadoop NYC, Sep 29 - Oct 1. See how Anaconda and other open source Python and R technologies can empower your data analytics with our demos, talks, and more.**SFBayACM Silicon Valley Data Science Camp 2015**- Sep 24, 2015.

This is a great (almost free = $5) opportunity to learn about Data Science and connect with others. SF Bay ACM annual Data Science Camp combines keynote, optional tutorial, and sessions.**15 Mathematics MOOCs for Data Science**- Sep 23, 2015.

The essential mathematics necessary for Data Science can be acquired with these 15 MOOCs, with a strong emphasis on applied algebra & statistics.**Building and Sharing R packages made easy with Anaconda**- Sep 15, 2015.

"R Essentials" bundle comes with Jupyter, IRKernel, and over 80 of the most used R packages and dependencies for data science, and get Conda, the leading package manager for data science. Free Anaconda download.**Data Science for Internet of Things – practitioner course**- Sep 14, 2015.

Created by Data Science and IoT professionals, the course covers infrastructure (Hadoop – Spark), Programming / Modelling(R/Time series) and ioT. Course starts Nov 2015, delivered online, and will have limited participants.**60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more**- Sep 4, 2015.

Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.**Top KDnuggets tweets, Aug 25-31: How to become a #DataScientist for Free; The R universe of Hadley Wickham**- Sep 1, 2015.

How to become a Data Scientist for Free; #BigData is Out, #MachineLearning is in; The universe of Hadley Wickham, the Man Who Revolutionized R; Book review: Fundamentals of #DeepLearning.**O’Reilly Learning Paths – Data Science Training – reduced rate until Sep 2**- Aug 30, 2015.

O'Reilly Learning Paths will help you get learn Hadoop, Data Visualization, Data Science with R, Python for Data - until Sep 2 buy them for only $99.**How to become a Data Scientist for Free**- Aug 28, 2015.

Here are the most required skills for a data scientist position based on ReSkill’s analyses of thousands of job posts and free resources to learn each skill.**Microsoft: R Data Scientist.**- Aug 26, 2015.

Are you passionate about R? Use it to solve real-world analysis and predictive modeling problems? Contribute packages and improvements to CRAN? If yes, talk to us about joining Microsoft Azure ML Data Science team.**Top KDnuggets tweets, Aug 18-24: Machine Learning Certifications, #DataScience Bootcamps; AshleyMadison Data Analysis**- Aug 25, 2015.

Ashley Madison Data analysis: 86% male, 30-46 is the trouble zone; Paradoxes of #DataScience examined; AI Market Overview and more visuals; MachineLearning Certifications and Best #DataScience Bootcamps.**Learn to Map Census Data in R – free email course**- Aug 19, 2015.

The course, split into 5 lessons, is designed to teach people how to easily make beautiful and informative maps of US demographics. People start with US State maps and progress to county and zip code maps.**Anaconda Data Science Platform for R, Python, or both**- Aug 18, 2015.

Got R, Python, or both? Download conda, the leading package and environment manager for data science, which works with both R and Python packages.**EARL2015 Conference for users, developers of R, London (Sep 14-16) and Boston (Nov 2-4)**- Aug 14, 2015.

The primary focus of both London and Boston Conferences is the commercial use and application of R across a broad range of business sectors.**Top KDnuggets tweets, Aug 04-10: Survival analysis in R – step by step guide**- Aug 11, 2015.

Survival analysis in R - step by step guide; Neural Nets, AI and Deep Learning journey to acceptance; Data is Ugly - Tales of Data Cleaning; Apache Flink and the case for #stream processing #BigData #Analytics.**R Programming: Who, Where and What**- Aug 11, 2015.

The “sexiest job” has the sexiest demand, and R is one of their leading weapons. Here, we are trying to capture how these unicorns are distributed, and also where you can move if you want to have great opportunities.**NYC Data Science Academy courses & bootcamps in Data Engineering, Data Science, R, Python, and Machine Learning**- Jul 31, 2015.

Upcoming training from NYC Data Science Academy: 6-Week Intensive Data Engineering Bootcamp, 12-Week Data Science Bootcamp, courses in R, Python, Data Science and Machine Learning, and more.**To Code or Not to Code with KNIME**- Jul 22, 2015.

Find out how KNIME allows us to integrating analytical languages, such as R and Python and visual design of SQL code. Also, learn to integrate your Hadoop, visualization and ETL systems with the KNIME.**R, Python users show surprising stability, but strong regional differences**- Jul 14, 2015.

R remains the dominant language, with Python slowly catching up, and other languages shrinking. We also found surprising stability, with about 90% of R and Python users staying with that language, and strong regional differences.**50+ Data Science and Machine Learning Cheat Sheets**- Jul 14, 2015.

Gear up to speed and have Data Science & Data Mining concepts and commands handy with these cheatsheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark and Machine learning algorithms.**Hotlist of Training resources for Predictive Analytics**- Jul 13, 2015.

A hotlist of training resources for Predictive Analytics, Machine Learning, Data Science, R, Python, SAS, and Excel, including MOOCs, blogs, meetups, courses, videos, and more.**Emacs for Data Science**- Jul 10, 2015.

Data science nowadays demands a polyglot developer and, choosing a correct code editor would definitely be a worthy investment. Here we provide, important features of Emacs and its advantages over other editors.**KDnuggets™ News 15:n21, Jul 1: Top 20 R packages; Using Ensembles in Kaggle; Tutorials and How-Tos**- Jul 1, 2015.

Top 20 R packages by popularity; Tutorials, Overviews, How-Tos; Open Source Enabled Interactive Analytics; Using Ensembles in Kaggle Data Science Competitions.**Top KDnuggets tweets, Jun 22-29: Kaggle Machine Learning Tutorial in R; 50 Smartest Companies – shaping the #technology landscape**- Jun 30, 2015.

Free @Kaggle #MachineLearning Tutorial in R - learn how to compete; 50 Smartest Companies - shaping the #technology landscape; Excellent Tutorial on #Sequence #Learning using #Recurrent #Neural #Networks; How a #DataScientist buys a #car.**Upcoming Webcasts on Analytics, Big Data, Data Science – Jun 30 and beyond**- Jun 29, 2015.

The Perfect Fit: Scalable Graph for Big Data, Data Mining: Failure to Launch, Introduction to SparkR, Tips & Tricks for Customer Segmentation, and more.**Microsoft: R Data Scientist**- Jun 26, 2015.

Are you passionate about R? Use it to solve real-world analysis and predictive modeling problems? Contribute packages and improvements to CRAN? If yes, talk to us about joining Microsoft Azure ML Data Science team.**Top 20 R packages by popularity**- Jun 25, 2015.

Wondering which are the most popular R packages? Here's an analysis based on most downloaded R packages from Jan to May 2015 to identify the top trending packages in the R world!**Top 20 R Machine Learning and Data Science packages**- Jun 24, 2015.

We list out the top 20 popular Machine Learning R packages by analysing the most downloaded R packages from Jan-May 2015.**New Poll: Primary Programming Language for Analytics, Data Mining, Data Science?**- Jun 22, 2015.

The Data Science Championship fight - R vs Python: What was your Primary Programming Language for Analytics, Data Mining, Data Science tasks?**Which Big Data, Data Mining, and Data Science Tools go together?**- Jun 11, 2015.

We analyze the associations between the top Big Data, Data Mining, and Data Science tools based on the results of 2015 KDnuggets Software Poll. Download anonymized data and analyze it yourself.**Top KDnuggets tweets, May 26 – Jun 1: Step by Step Guide to Learn #DataScience on R**- Jun 5, 2015.

Creator of @ApacheSpark @Matei_Zaharia wins @ACM Doctoral Dissertation Award; LeaRning Path: Step by Step Guide to Learn #DataScience with R; Top 20 #Python #MachineLearning #OpenSource Projects; R vs #Python for #DataScience.**Top /r/MachineLearning Posts, May: Unreasonable Effectiveness of Recurrent Neural Networks, Time-Lapse Mining**- Jun 1, 2015.

The Unreasonable Effectiveness of Recurrent Neural Networks, Time-lapse mining from Net photos, Deep Learning Textbook Part I, Kaggle R Tutorial, and Free Machine Learning ebooks.**R vs Python for Data Science: The Winner is …**- May 26, 2015.

In the battle of "best" data science tools, python and R both have their pros and cons. Selecting one over the other will depend on the use-cases, the cost of learning, and other common tools required.**R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites**- May 25, 2015.

R is the most popular overall tool among data miners, although Python usage is growing faster. RapidMiner continues to be most popular suite for data mining/data science. Hadoop/Big Data tools usage grew to 29%, propelled by 3x growth in Spark. Other tools with strong growth include H2O (0xdata), Actian, MLlib, and Alteryx.**Simplilearn: Big Data, Analytics online courses discount, Free ebook**- May 21, 2015.

The role of a Data Scientist is ever evolving and a candidate with up-to-date skills will be preferred over their peers across industries. Learn SAS, Hadoop, R, Big Data, and Analytics skills with Simplilearn online courses, special discount until May 30.**R vs Python, why each is better**- May 19, 2015.

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The #datascience ecosystem part 2: Data wrangling useful tools and tips; 10 R Packages to Win Kaggle Competitions; Forrester Wave #BigData Predictive #Analytics Solutions 2015, gainers, losers; How Microsoft uses Big Data to predict traffic jams in advance.**Top KDnuggets tweets, Mar 26-29: The Basic Recipe for #MachineLearning in one slide; The Grammar of Data Science – comparing Python and R**- Mar 30, 2015.

The Basic Recipe for Machine Learning in one slide; The Grammar of Data Science - comparing Python and R; Uber Data Science team reveals why taxis may never be able to compete; Comparing @PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning.**The Grammar of Data Science: Python vs R**- Mar 28, 2015.

In this post, I will elaborate on my experience switching teams by comparing and contrasting R and Python solutions to some simple data exploration exercises.**useR 2015 – R User conference, Aalborg, Denmark, June 30 – July 3**- Mar 20, 2015.

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