Overview of the most interesting materials on data analysis and machine learning №19 (October 20 - 26, 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

• IBM announces new Watson technology deployment projects and the opening of the Watson Group headquarters in New York
• Results Russian AI Cup 2014
• How to make data talk
• The role of big data in private investigations and analysis
• On Yandex.Maps you can now create heat maps
• HDConf conference: photo-video-slide report
• 50+ face recognition libraries
  Over 50 different libraries, Face Detection / Recognition APIs that can be used in your applications.
• Introduction to Big Data in the financial sector (Part 5)
  The fifth and final part of a series of articles on the use of Big Data in the banking and financial sectors from the insideBIGDATA portal.
• Top Questions at the Analyst Job Interview (Part 2)
  The second part of a series of articles, which contains several popular questions that are asked at the interview for the position of analyst.
• New library for machine learning in Java
  An article that discusses the advantages and disadvantages of a new open source machine learning framework for the Java programming language called Datumbox.
• MIT Scientists Predict Bitcoin Cost
  An article about a group of MIT scientists who built a regression-based predictive model to predict short-term fluctuations in Bitcoin, which allowed them to double their investments in two months.
• An Introduction to In-Memory Computing (Part 4)
  Continuation of a series of articles on the topic of In-Memory Computing from the portal insideBIGDATA. In this case, it will be about measuring the performance of In-Memory Computing.
• An Introduction to In-Memory Computing (Part 5)
  The fifth and final part of a series of articles on In-Memory Computing from the insideBIGDATA portal. In this case, we will focus on the product GridGain Data Fabric.
• SQL or NoSQL?
  Another small article that contains the author's thoughts on such a popular issue as the choice of technology for data storage.
• Information retrieval with Apache Lucene and Tika (part 1)
  The first part of a series of articles, which is devoted to the topic of information retrieval using Apache Lucene and the library Tika.
• Information retrieval with Apache Lucene and Tika (part 1)
  The second part of a series of articles, which is devoted to the topic of information retrieval using Apache Lucene and the Tika library.
• Information retrieval with Apache Lucene and Tika (part 1)
  The third part of a series of articles, which is devoted to the topic of information retrieval using Apache Lucene and the library Tika.
• 15 non-aging articles on Data Science
  A list of 15 articles from the DataScienceCentral portal, which were published 1-2 years ago, but still have not lost their popularity and relevance.

Theory and algorithms of machine learning, code examples

• Benford's law and distributions falling under it
• Markov random fields
• How to master machine learning algorithms
  5 great tips from the author of the blog MachineLearningMastery about how to properly approach the issue of studying various machine learning algorithms.
• Nonlinear regression
  A fairly simple description of the concept of nonlinear regression.
• First look at Distributed R
  A small note about a very interesting project from HP Labs called Distributed R.
• How MKL Improves Revolution R Open
  In the past, the review was a reference to the announcement of the Revolution R Open, and in this article we will discuss the implementation details of this version of the R programming language, namely, the acceleration of certain operations using the Intel Math Kernel Library (MKL).
• Text Analysis with RapidMiner (Part 1)
  The first part of a series of articles on text analysis using the RapidMiner product.
• Text Analysis with RapidMiner (Part 2)
  The second part of a series of articles on text analysis using the RapidMiner product.
• Introduction to Neural Networks (Part 2)
  A fairly simple description of the work of neural networks with the blog Analytics Vidhya.

Machine learning competitions

• What is a data hackathon?
  An interesting video about the data hackathon held in mid-September under the auspices of MIT.
• How to choose a model for the final assessment in the competition at Kaggle
  A very useful article from one of the participants in machine learning competitions, on how to choose the model for the final assessment in the competition at Kaggle.
• Tips for choosing a model in machine learning competitions
  Continuing the discussion of the previous topic about the choice of the final model in machine learning competitions, in this case, is the opinion of the author of the popular blog MachineLearningMastery on this interesting question.

Online courses, educational materials and literature

• Online course “Data Visualization. Basics
• New courses on Big Data from MIT to edX
  Some time ago, a publication appeared on the MIT website about an interesting MIT initiative on edX, namely, the launch of the first session of the Tackling the Challenges of Big Data course on edX at MIT, which will be available to everyone.
• 3 great free books on Data Science
  A set of three books on Data Science with a small description of each, which can be obtained free of charge.
• Book Data Fluency
  A review of the curious new book Data Fluency from the authors.
• Books "Foundations of Signal Processing" and "Fourier and Wavelet Signal Processing"
  A short note about the interesting books "Foundations of Signal Processing" and "Fourier and Wavelet Signal Processing" by the author of the popular blog Nuit Blanche.

Video

• Scaling fuzzy search algorithms
  An interesting report from Ken Kugler (President, Scale Unlimited) from the Cassandra Summit 2014 conference on the topic of scaling Fuzzy Matching functionality using the example of comparing the degree of similarity of customer data in the banking sector using Apache Cassandra.
• Using Apache Spark to work with data
  This post presents a set of videos that are devoted to Apache Spark.

Data engineering

• Microsoft DocumentDB: Article One, Introduction
• Microsoft DocumentDB: second article, resources and concepts
• Kylin from eBay
  An interesting open source product from eBay called Kylin - Distributed Analytics Engine with SQL interfaces and Hadoop-based OLAP.
• Hadoop in the corporate sector
  Interesting infographics about using Apache Hadoop in the corporate sector.
• Apache Kafka load testing on AWS
  An interesting article in which the results of the load testing of Apache Kafka on AWS.
• Sharding traps (part 2)
  The second part of a series of articles on the intricacies of using sharding in the popular MongoDB NoSQL storage.
• Sharding traps (part 3)
  The third part of a series of articles on the intricacies of using sharding in the popular MongoDB NoSQL storage.

Reviews

• Weekly Digest from DataScienceCentral
  Regular weekly digest of articles on data analysis from the DataScienceCentral portal.
• The best materials for the week (October 12 - 18)
  Best material for the week on data analysis from the portal KDnuggets.
• Data Mining News
  A small list of interesting resources on Data Mining from October 8.
• The most interesting materials from Freakonometrics № 177
  A collection of the most interesting materials from the popular portal Freakonometrics.
• Freakonometrics # 176 Most Interesting Materials
  A collection of the most interesting materials from the popular portal Freakonometrics.
• The most interesting materials from Freakonometrics №175
  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.
• Best material: NoSQL Zone (October 17 - 24)
  Collection of the best materials from the popular portal DZone on NoSQL.

Previous release: Review of the most interesting materials on data analysis and machine learning №18 (October 13 - 19, 2014)