- 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.
Deep Learning, H2O, Internet of Things, IoT, R
- 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.
Pages: 1 2 3
7 Steps, Data Preparation, Data Science Education, Data Visualization, DataCamp, Hadley Wickham, Learning Path, Maps, R
- 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.
Data Science Education, Online Education, Python, R
- 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.
Ajay Ohri, Jupyter, Python, Python vs R, R
- 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?
C++, Java, Matthew Mayo, Open Source, Python, R, Topological Data Analysis
- 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.
Python, Python vs R, R
- 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.
Pages: 1 2
Data Analysis, Mango Solutions, Python, Python vs R, R
- 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.
C++, Deep Learning, Matthew Mayo, Neural Networks, Python, R, Reddit
- 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.
Pages: 1 2
Applied Statistics, Coursera, Data Science, edX, Mathematics, MOOC, R, Udemy
- 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.
Book, Brendan Martin, Data Mining, Data Science, Free ebook, Machine Learning, Python, R, SQL
- 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.
Data Science Education, Data Scientist, Java, Online Education, Python, R, SQL, Statistics
- 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.
India, Programming, R, Salary, USA
- 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.
Cheat Sheet, Data Science, Django, Hadoop, Machine Learning, Python, R
- 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.
Data Science Tools, Emacs, R, SQL
- 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!
CRAN, R, R Packages, Top list
- 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.
CRAN, Data Science, Machine Learning, R, R Packages, Top list
- 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.
Apache Spark, Data Mining Software, Excel, Hadoop, Knime, Poll, Python, R, RapidMiner, SQL
- 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.
Data Science Tools, DataCamp, Python, Python vs R, R
- 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.
Actian, Apache Spark, Data Mining Software, H2O, Knime, Poll, Python, R, RapidMiner, SQL
- Most Viewed Data Mining Videos on YouTube - May 18, 2015.
The top Data Mining YouTube videos by those like Google and Revolution Analytics covers topics ranging from statistics in data mining to using R for data mining to data mining in sports.
Ayasdi, Data Mining, Google, Grant Marshall, R, Rattle, Revolution Analytics, Statistica, Text Mining, Weka, Youtube
- Machine Learning Table of Elements Decoded - Mar 11, 2015.
Machine learning packages for Python, Java, Big Data, Lua/JS/Clojure, Scala, C/C++, CV/NLP, and R/Julia are represented using a cute but ill-fitting metaphor of a periodic table. We extract the useful links.
Big Data Software, Java, Julia, Machine Learning, NLP, Python, R, Scala, scikit-learn, Weka
- Fun and Top! US States in 2 Words using twitteR - Feb 19, 2015.
Combining twitteR package with text mining techniques and visualization tools can produce interesting outputs. Find out which US state is fun and top, and which is good and crazy, according to Twitter.
R, Text Mining, Twitter, USA
- Simple Data Science of Global Warming - Jan 19, 2015.
You don't have to be a climatologist to empirically confirm global warming. It is enough to have a computer, a reliable data set of historical temperatures, and software like R to do simple calculations.
Climate Change, Global Warming, R
- Most Demanded Data Science and Data Mining Skills - Dec 15, 2014.
Our analysis of most demanded data scientist skills shows that Data Science is a team effort focused on business analytics, with top 5 platform skills being SQL, Python, R, SAS, and Hadoop.
Data Science Skills, Data Scientist, Hadoop, New York-NY, Python, R, SAS, Skills, SQL
- R and Hadoop make Machine Learning Possible for Everyone - Nov 16, 2014.
R and Hadoop make machine learning approachable enough for inexperienced users to begin analyzing and visualizing interesting data to start down the path in this lucrative field.
Data Science Skills, Hadoop, Hadoop 2.0, Joel Horwitz, LinkedIn, Machine Learning, R
- Rattle package for Data Mining and Data Science in R - Sep 17, 2014.
Try the newly-released version of Rattle, the open source R package for data mining, and enjoy accessing a huge array of data mining algorithms through a convenient interface.
Data Mining Software, Free Software, Graham Williams, Open Source, R, Togaware
- Four main languages for Analytics, Data Mining, Data Science - Aug 18, 2014.
New KDnuggets Poll shows the growing dominance of four main languages for Analytics, Data Mining, and Data Science: R, SAS, Python, and SQL - used by 91% of data scientists - and decline in popularity of other languages, except for Julia and Scala.
Analytics Languages, Data Mining, Data Science, Julia, Poll, Python, R, SAS, Scala, SQL
- KDnuggets Analytics, Data Mining, Data Science Software Poll – Analyzed - Jun 17, 2014.
We analyze the results of KDnuggets Software Poll, including correlations between tools, and relationships between commercial, free, and Hadoop/Big Data tools. We identify a potential capability gap. Download anonymized data and analyze it yourself.
Data Mining Software, Hadoop, Poll, R, RapidMiner
- KDnuggets 15th Annual Analytics, Data Mining, Data Science Software Poll: RapidMiner Continues To Lead - Jun 7, 2014.
With over 3,000 data miners taking part in KDnuggets 15th Annual Software Poll, RapidMiner continues to lead. Free software is used much more outside US, and Hadoop usage grows fastest in Asia.
Data Mining Software, Excel, Hadoop, Knime, Poll, Python, R, RapidMiner, SAS, SQL, SQL Server, Weka
- Guide to Data Science Cheat Sheets - May 12, 2014.
Selection of the most useful Data Science cheat sheets, covering SQL, Python (including NumPy, SciPy and Pandas), R (including Regression, Time Series, Data Mining), MATLAB, and more.
Cheat Sheet, Data Science, Python, R, SQL
- Employee Churn 201: Calculating Employee Value - Apr 4, 2014.
Much has been written about customer churn. This post examines employee churn - an equally important problem and its unique dynamics.
Employee Churn, Employee Value, GitHub, Pasha Roberts, R, Talent Analytics
- Free e-book on Data Science with R - Feb 15, 2013.
An Introduction to Data Science, developed for Syracuse U. Certificate for Data Science, is freely downloadable and available on iTunes.
Free ebook, R
