Review of the most interesting materials on data analysis and machine learning №25 (December 1 - 7, 2014)

I present to you the next issue of the review of the most interesting materials on the topic of data analysis and machine learning.

General

• How to find out more about your users? Application of Data Mining in Mail.Ru Rating
• Hacker's guide to neural networks. Schemes of real values. Strategy # 3: Analytical Gradient
• Process Mining: Acquaintance
• The Germans have created a library of drunken audio recordings.
• Study of the causes of abnormal voting on the ROI website or the specifics of e-democracy in Russia
• Image description in natural language is an interesting article from the Google Research Blog about using Deep Learning to describe various images in natural language.
• Want to make money in Data Science? Learn data tools
• 10 major trends in business intelligence for 2015
• Trends in Big Data, Business Intelligence and Hadoop
• Who is Data Scientist - interesting detailed reflections from the Data Science Central portal about what the term Data Scientist is so fashionable now.
• Automatic data comprehension - an article from the Google Research Blog about an interesting project The Automatic Statistician.
• 11 open source machine learning tools - a useful list of 11 open source machine learning tools.
• 63 Data Science resources - another list of interesting links to various resources on Data Science topics from the popular Data Science Central portal.
• Netflix: 10 lessons learned in building machine learning systems - the author of the blog MachineLearningMastery.com reveals the main points from a recent presentation from Netflix, to which I gave a link in the last review.
• 9 best analytical platforms
• List of useful resources on the programming language R
• Interesting Julia Resources
• Python Tools for Visual Studio now work in Azure Machine Learning

Theory and algorithms of machine learning, code examples

• Comparison of various types of cross-validation - a useful article from the author of the book Applied Predictive Modeling on the use of various types of cross-validation in machine learning.
• Deep Learning for Chess - An article about an interesting experiment using the Deep Learning Machine Learning Algorithm (GPU using Theano Library) for learning based on a database of chess games.
• Processing CSV data using Python
• Machine learning without a teacher with scikit-learn
• An introduction to R for programmers
• Introduction to text analysis using the Twitter Streaming API and Python
• Laboratory for Machine Learning SKLL (SciKit-Learn Laboratory)
• Introduction to Python Data Analysis
• Data Science in Practice with Python
• Example code: write to a CSV file from Apache Spark
• Example code: selecting random entries from data.frame using dplyr

Online courses, educational materials and literature

• Announcement of two new online courses on Apache Spark - at the beginning of 2015, edX will present two new courses on how to use Apache Spark.
• A portal with various online courses on Data Science — I met an interesting portal with a large number of online courses on Data Science: IntelliPaat.
• The free book Probabilistic Programming & Bayesian Methods for Hackers is an interesting free book called Probabilistic Programming & Bayesian Methods for Hackers with examples in the Python programming language.
• Materials from the summer school of machine learning in Paris
• 20 free books on the basics of artificial intelligence
  Free book 2014 Data Science Salary Survey
  The list of recommended econometrics literature is another list of econometrics literature that Professor Dave Giles advises to read.
  

Video

• Scaling machine learning algorithms with the help of Apache Spark - this post presents an interesting video from one of the meetings of the SF Machine Learning Meetup group in San Francisco devoted to the topic of using Apache Spark.
• Several training videos on Data Science - this post presents an interesting set of 12 training videos on Data Science over the past 2 years.
• Deep Learning with Python is an interesting video about Deep Learning by Alec Radford (Head of Research at Indico Data Solutions).

Data engineering

• Tweaking the JVM garbage collector for HBase is a curious article from the Cloudera blog about how to customize the JVM garbage collector to improve HBase performance.

Reviews

• Interesting from the world of R (November 24-30, 2014)
• Weekly Digest from DataScienceCentral (December 8)
• The best materials for the week from KDnuggets.com (November 23 - 29)
• The best materials for November from KDnuggets.com
• Freakonometrics # 190 Most Interesting Materials
• Freakonometrics # 189 Most Interesting Materials
• Weekly collection of the best materials from R1Soft (December 5)
• Best material: Big Data Zone (November 28 - December 5)
• The most interesting materials on High Scalability (December 5)

Previous release: Review of the most interesting materials on data analysis and machine learning №24 (November 24 - 30, 2014)