Review of the most interesting materials on data analysis and machine learning №22 (10 - 16 November 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

• Videos from Yet another Conference 2014
  There were videos from the conference of Yet Another Conference 2014, which was held on October 30 in the office of Yandex.
• New materials with HighLoad ++ 2014
  In public access, quite a lot of new slides from various speeches from the conference of developers of highly loaded systems HighLoad ++ 2014 have appeared.
• TIOBE rating for November 2014: R on the way to the list of the top 10 programming languages
  Interesting news about the growing popularity of the R programming language in the rating according to the TIOBE company.
• How to become Data Scientist: 8 steps to success
  Interesting infographics, which contains 8 recommendation steps that will help become Data Scientist.
• Answers to machine learning questions
  The author of the popular blog MachineLearningMastery answers readers' questions about machine learning.
• Text and image analysis
  Another interesting article from the blog of the company AYLIEN, dedicated to the analysis of text data and images.
• How Formula 1 teams use Big Data
  A small article on the use of Big Data in Formula 1.
• Will IBM Watson Analytics Replace Data Analytics?
  A small interesting article from the popular KDnuggets portal dedicated to the IBM Watson Analytics Beta.
• 5 projects for studying Data Science
  A good set of ideas in the post from the blog Analytics Vidhya, which will help newcomers to get practice in Data Science projects and improve their skills.
• Performance Revolution R Open on Linux
  Results of performance tests of the Revolution R Open on the Linux platform.
• Data Science topic growth over the past two years: 300%
  A little research from the Data Science Central portal and Vincente Granville.
• My thoughts on Data Science and Big Data
  Very interesting thoughts on the topics of Data Science and Big Data from Vincent Granville.
• Materials from "Python Data Science LA meetup"
  Interesting materials from the recent meeting of "Python Data Science LA meetup".
• 13 Big Data and Data Science Trends
  A list of current trends in Big Data and Data Science topics from the Data Science Central portal.
• 22 Data Science Tips
  22 helpful tips on Data Science by Vincent Granville.
• 20 most commented posts
  The 20 posts that have collected the most comments from the popular Data Science Central portal.
• Big Data 101: Scalability
  A few words about such an important concept in the modern world of Big Data as scalability.
• Data Science Process
  The next article from the popular portal InsideBIGDATA from the “Ask a Data Scientist” series, in this issue we will discuss what Data Science is.

Theory and algorithms of machine learning, code examples

• Analyze friendships VK using Python. Continuation
• Probabilistic programming - the key to artificial intelligence?
• Short course on statistics required for machine learning
  A brief overview of the areas of statistics needed to work with machine learning algorithms.
• Why are my results not as good as I expected? Perhaps the problem is in retraining
  An article that tells about the problem of retraining (overfitting) during machine learning and possible ways to solve it.
• Use Apache Hadoop to predict flight delays
  An article from Hortonworks' blog about the practical use of Apache Hadoop, Python and Pig to predict flight delays.
• A quick look at the igraph library
  A brief overview of the igraph library for the R programming language, which provides wide and varied possibilities for working with graphs.

Online courses, educational materials and literature

• A new online course “Process Mining: Data science in Action” has been launched.
  On November 12, a new online course on Coursera on data analysis was launched, entitled Process Mining: Data science in Action, which is presented by Eindhoven University of Technology.
• The second edition of the book "Doing Bayesian Data Analysis"
  The second edition of the fairly popular book Doing Bayesian Data Analysis has appeared.
• The book "Sparse Modeling for Image and Vision Processing"
  A small post about the book "Sparse Modeling for Image and Vision Processing" by the author of the popular blog Nuit Blanche.

Video

• Big Data Analysis with Apache Spark
  This post presents a presentation from one of the meetings in San Francisco, which is devoted to analyzing big data using Apache Spark.

Data engineering

• How Yhat does load balancing in the cloud
  An interesting article from the blog of the company Yhat about the problems of load balancing and their solution in the cloud product ScienceOps.
• Cubert: A platform for high-speed computing with complex analytics on big data
  An article from LinkedIn’s blog about a product called Cubert, which is now an open source project and can be useful for performing various analytical tasks on big data.
• Data modeling in document-oriented databases
  An interesting article from the Couchbase blog about data modeling approaches in document-oriented databases.

Reviews

• Weekly Digest from DataScienceCentral
  Regular weekly digest of articles on data analysis from the DataScienceCentral portal.
• The best materials for the week (November 2 - 8)
  Best material for the week on data analysis from the portal KDnuggets.
• Data Mining News
  A small list of interesting resources on Data Mining on November 12.
• Best material: Big Data Zone (November 7 - 14)
  Collection of the best materials from the popular portal DZone on Big Data.
• Best material: Big Data Zone (October 31 - November 7)
  Collection of the best materials from the popular portal DZone on Big Data.
• The best resources for the week from Data Elixir
  Collection of links to various materials on the topic of data analysis, collected by the blog Data Elixir over the past week.
• Weekly collection of the best materials from R1Soft
  Weekly collection of the best materials under the name “This Week in Data” from R1Soft.
• Freakonometrics # 183 Most Interesting Materials
  A collection of the most interesting materials from the popular portal Freakonometrics.
• Freakonometrics # 182 Most Interesting Materials
  A collection of the most interesting materials from the popular portal Freakonometrics.
• Best material: NoSQL Zone (October 31 - November 7)
  Collection of the best materials from the popular portal DZone on NoSQL.
• The most interesting materials on High Scalability
  Review of the most interesting materials on HighScalability from the popular High Scalability portal.

Previous release: Review of the most interesting materials on data analysis and machine learning №21 (November 3 - 9, 2014)