Review of the most interesting materials on data analysis and machine learning №34 (February 2 - 8, 2015)

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

• Machine learning in the field of online dating
• Artificial Intelligence can watch the video and describe what it sees - a curious post with a short video about the startup Clarify, which specializes in artificial intelligence and develops a product that can describe what happens in the proposed videos, based on the use of Deep Learning algorithms.
• Four excellent data visualizations
• 6 Tips to Help You Become an Excellent Data Science Specialist
• One of the creators of Google Brain tells why he is currently working on creating Chinese neural networks - an interesting interview with Andrew Ng.
• Why do many data analytics choose Python? - An interesting question asked on Quora, and some useful answers.
• Data Science: Should I study Python or R?
• Why is it time to learn the programming language R

Theory and algorithms of machine learning, code examples

• Sample Feature Engineering in Machine Learning
• Automatic Age Assessment System for Face Images
• How the Shazam Music Recognition Algorithm Works
• Practical Data Science with Python
• A series of lessons on machine learning and natural language processing. Lesson 1: Working with Text
• Understanding the text from scratch - a publication from Xiang Zhang and Yann LeCun on the use of convolutional neural networks for text analysis.
• A few words about Shiny is a small post that tells about the popular Shiny visualization library for the R programming language and the possibilities of publishing your Shiny-applications on the Shinyapps.io portal.
• Quickcheck: randomized unit testing for R - a short post about an interesting unit testing library for the R programming language
• Data Analysis with Pandas is a small example of using Pandas, written for the Python programming language, to analyze data.
• Machine learning result

Online courses, educational materials and literature

• Book Review: High-Performance Data Mining and Big Data Analytics

Video, podcasts

• Partially Derivative: Episode 12: Partially Deflated - another episode of the popular podcast "Partially Derivative".

Data engineering

• Google again recorded the largest quarterly spending on data centers
• Will Microsoft Cosmos be able to compete with Hadoop
• Using Apache Crunch for data processing in Spotify is an interesting article, for those who use MapReduce are not yet ready to use Apache Spark, but want to get similar functions.
• Published Apache Hive 1.0.0

Reviews

• Interesting from the world of R (February 2-8, 2015)
• Interesting from the world of R (January 26 - February 1, 2015)
• Top January Content from KDnuggets.com
• The best materials for the week from KDnuggets.com (December 25 - 31)
• Digest of the best resources from DataScienceCentral (February 5)
• Data Science News from MyDataMine.com (February 6)
• Big Data News from MyDataMine.com (February 3)
• Weekly collection of the best materials from R1Soft (February 6)
• The best resources for the week from Data Elixir (№21)
• This month in the Hadoop Ecosystem (January 2015)
• The most interesting materials on High Scalability (February 6)

Previous release: Review of the most interesting materials on data analysis and machine learning №33 (January 26 - February 1, 2015)