Overview of the most interesting materials on data analysis and machine learning №20 (October 27 - November 2, 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

• Russian AI Cup 2014: winning strategy
• Moscow Big Data Hackathon November 15-16
• HighLoad ++ 2014: Data Processing in RTB: Fast, Cheap and 98% Accurate (Pavel Kalaydin, RuTarget)
  Real-time bidding requires real-time analytics. RuTarget handles billions of banner requests per day. How to determine, for example, how many unique users are in these queries? Slides from Pavel Kalaydin's report at HighLoad ++ 2014.
• HighLoad ++ 2014: Thorny path to the Large-Scale Graph Processing (Alexey Zinoviev, Tamtek)
  Slides from the report by Alexey Zinoviev from the HighLoad ++ 2014 conference dedicated to working with large graphs.
• HighLoad ++ 2014: How we built an analytical platform for several billion events a month (Mikhail Tabunov, Coub)
  Another set of slides from another report from the HighLoad ++ 2014 conference. In this case, Mikhail Tabunov from Coub spoke about his experience in creating an analytical platform.
• New approaches in deep learning for pattern recognition
  An interesting article from the Microsoft Research blog about the development of using Deep Learning machine learning algorithms for pattern recognition.
• Jeff Hawkins on the limitations of neural networks
  Lately, there has been a lot of noise, news and discussions around the topic of using neural networks for machine learning. Jeff Hawkins gives his small expert commentary on the limitations of neural networks.
• Data Science Team News on LinkedIn
  Some news Data Science team in LinkedIn from the popular portal Venture Beat.
• Text analysis from the perspective of a business user (Part 1)
  The first part of a series of articles devoted to a look at text analysis from the point of view of a non-technical specialist.
• Index page for data analysis materials
  Analytics blog Vidhya has a useful page that contains a link to a large number of different materials on the topic of data analysis.
• 25 facts about Big Data
  A collection of 25 interesting facts about Big Data that may seem interesting, from the SmartData Collective portal.
• 6000 libraries on CRAN
  The number of libraries for the R programming language in the CRAN repository reached 6000.

Theory and algorithms of machine learning, code examples

• Breaking the text into sentences by a linguistic-independent method using the example of the AIF library
• Visualization curse dimension
  Simple and intuitive visualization of the notion of the curse of dimension.
• Deep learning as of 2014
  Slides from a recent report from the famous expert in machine learning, Oliver Griesel, on the popular topic of deep learning.
• Introduction to DeployR Open
  A small article from the Revolutions blog about an interesting product DeployR Open for the R programming language.
• Do not start the development of a machine learning algorithm with the study of someone else's code.
  An article from the blog MachineLearningMastery, which provides useful tips that will raise your level of knowledge in the field of machine learning.
• Studying the work of machine learning algorithms (part 1)
  Another interesting article from the author of the blog MachineLearningMastery, which will tell you how to study the work of machine learning algorithms and why it is useful not only in academic research.
• Study of machine learning algorithms (part 2)
  And a little more information from the author of the blog MachineLearningMastery about how to study the work of machine learning algorithms.

Online courses, educational materials and literature

• Zipfian Academy: Become a Data Scientist in 12 weeks
  An expensive offer from Zipfian Academy, which promise for 12 weeks and $ 16,000 to bring you to a brighter future in the subject of Data Science.
• The book "Social Media Mining"
  Electronic version of the book "Social Media Mining".
• Preliminary version of the book “Causal Inference”
  A preliminary version of the book "Causal Inference" from the author.
• The electronic version of the book Data Blending for Dummies is available for free download.
  The free electronic version of the book Data Blending for Dummies has appeared.
• Exit the book "Data Fluency"
  Appeared in the sale of a curious book on the analysis of data "Data Fluency".

Video

• How recommender systems work. Lecture in Yandex
• Introduction to Microsoft Azure Machine Learning
  A video in which a fairly simple level is told about Azure ML and will serve as a good base to help you start working with this solution from Microsoft.
• Hadley Wickham about dplyr library at useR conference! 2014
  A small interesting talk about the dplyr library features from Hadley Wickham (Assistant Professor of Statistics, Rice University), which was presented at the useR conference! 2014

Data engineering

• 5 undeniable facts about Hadoop
  A small article from the portal Big Data Analytics News, which gives 5 interesting facts about Hadoop, which will help to understand the situation when the use of Hadoop is appropriate and when not.
• The role of DBA in the world of NoSQL
  The article tells about the role of DBA in the modern world of NoSQL repositories.
• Using SQL queries in MongoDB
  An article that tells you about the use of SQL syntax for querying MongoDB using SlamData.

Reviews

• Weekly Digest from DataScienceCentral
  Regular weekly digest of articles on data analysis from DataScienceCentral portal.
• Best material: Big Data Zone (October 24 - 31)
  Collection of the best materials from the popular portal DZone on Big Data.
• Data Mining News
  A small list of interesting resources on Data Mining on October 29.
• The best materials of the week
  The best materials of the week on the subject of Data Science from the portal "Data Science Report".
• Best material: Big Data Zone (October 17 - 24)
  Collection of the best materials from the popular portal DZone on Big Data.
• The best materials for the week (October 19 - 25)
  The best materials for the week on the topic of data analysis from the portal KDnuggets.
• The most interesting materials from Freakonometrics # 179
  A collection of the most interesting materials from the popular portal Freakonometrics.
• The most interesting materials from Freakonometrics # 178
  A collection of the most interesting materials from the popular portal Freakonometrics.
• 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 №19 (October 20 - 26, 2014)