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

• Machine learning as a service - free of charge and in the cloud
• Microsoft Azure Big Data
• How we did analytics for a high load site
• DeepMind creates a computer that repeats human short-term memory.
• 3 questions to answer when choosing a Data Science program
  Useful article that contains 3 important questions with comments to them, which should be answered when choosing a training program on the subject of Data Science.
• 22 Data Science Tips
  In this article, you can find 22 tips on Data Science from Vincent Granville, a renowned data analyst and creator of the Data Science Central portal.
• Data model flexibility
  A little reflection on such an important property of the data model as flexibility.
• Open issues on Facebook data handling
  An article from the blog of the company Facebook tells about various unsolved problems and issues of the company in the topic of working with data.
• 10 recommendations when implementing the principles of Big Data
  10 useful recommendations from the popular portal Big Data Analytics News.
• Running R in Azure ML Cloud
  A short article that tells about the possibility of launching R in the Azure ML cloud from Microsoft.

Theory and algorithms of machine learning, code examples

• How to take control of a huge list of machine learning algorithms
  The author of the popular blog MachineLearningMastery gives some tips to help you understand a large number of different machine learning algorithms.
• Hello world machine learning
  Another excellent article from the author of the blog MachineLearningMastery, which will be interesting to beginners and will help to understand the huge number of algorithms that are in machine learning.
• Clustering and distributed computing model
  A story about various clustering methods and the possibility of using the distributed computing model when using data from clustering algorithms.
• Emission Detection - Using Machine Learning to Detect Anomalies in Time Series Analysis
  An article from the Microsoft Technet Machine Learning blog about finding anomalies when analyzing time series using machine learning and Azure ML.
• Analysis of R code coverage by unit tests
  A very interesting article devoted to the analysis of code level coverage by unit tests in the R programming language using the library testCoverage.
• Tweet text analysis using the ALYIEN Text Analysis API
  Another interesting article devoted to the analysis of the text, in this case it is an interesting material on the analysis of the tone of the text Twitter.
• Introduction to Neural Networks
  Another article that tells about the basics of such an interesting and popular topic now as neural networks.
• Intuition of Regularized Logistic Regression
  A small article that will help you better understand the regularized logistic regression.
• Introduction to the principal component method
  A pretty good article on the basics of the Principal Component Analysis method.
• About the important role of the baseline result
  The author of the blog MachineLearningMastery talks about what the basic result is and why it is important.

Machine learning competitions

• First place: The Hunt for Prohibited Content
  Interviews with the winners of the machine learning competition The Hunt Prohibited Content by Avito.ru on Kaggle.
• Second place: The Hunt for Prohibited Content
  Interviews with the runners-up in machine learning competition The Hunt Prohibited Content by Avito.ru at Kaggle.

Online courses, educational materials and literature

• Site "Mining of Massive Datasets"
  On this site you can find links to a book on this topic and links to various online courses.

Video

• Hadley Wickham: an introduction to dplyr (part 1)
  Speech by Hadley Wickham on useR! 2014 dedicated to the popular dplyr library for the R programming language.
• Hadley Wickham: an introduction to dplyr (part 2)
  The second part of Hadley Wickham's performance on useR! 2014, dedicated to the popular dplyr library for the R programming language.

Data engineering

• HighLoad ++ 2014: Modern Distributed Object Storage Device on the example of LeoFS (Alexander Chistyakov, Git in Sky)
  Another presentation from the next conference of developers of high-loaded systems HighLoad ++ 2014. This is a speech by Alexander Chistyakov from Git in Sky: Device of modern distributed Object Storage on the example of LeoFS.
• HighLoad ++ 2014: Sharding: patterns and antipatterns (Konstantin Osipov, Alexey Rybak)
  Slides from another interesting report that opened the HighLoad ++ 2014 conference called “Sharding: patterns and antipatterns”.
• Using Apache Spark and Neo4j to analyze large graphs
  An article that tells about the possibility of using the popular Apache Spark and Neo4j products for working with large graphs.
• Netflix Dynomite - How to make unallocated databases distributed
  An interesting article about the solution with the open source code Dynomite from the company Netflix.
• Flafka: Apache Flume and Apache Kafka for event handling
  These reviews have already had several links to Apache Kafka materials, but in this case this is quite an interesting article from Cloudera’s blog about using Apache Kafka and Apache Flume to handle events.
• NoSQL in the world of Hadoop
  An interesting article from the Cloudera blog about the place NoSQL takes in the world of Hadoop.
• Work with sessions at near real-time speeds with Spark Streaming and Apache Hadoop
  An interesting article from the Cloudera blog about using Spark Streaming features.
• Three tips on data modeling in document-oriented databases (Part 1)
  The first part of a series of articles on data modeling in document-oriented databases.
• 10 tips for data modeling in the world of relational and NoSQL repositories
  A small article in which you can find 10 tips on data modeling in the world of relational and NoSQL repositories.
• Introduction to Hadoop MapReduce
  An article that explains well the basic concepts of Hadoop MapReduce.

Reviews

• 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 Digest from DataScienceCentral
  Regular weekly digest of articles on data analysis from the DataScienceCentral portal.
• Digest of the best resources from DataScienceCentral
  A good list of fresh interesting articles and resources from DataScienceCentral.
• 10 best materials of the week
  10 best materials of the week on the subject of Data Science from the portal "Data Science Report".
• The best materials for the week (October 26 - November 1)
  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 5.
• Freakonometrics # 181 Most Interesting Materials
  A collection of the most interesting materials from the popular portal Freakonometrics.
• The most interesting materials from Freakonometrics №180
  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 №20 (October 27 - November 2, 2014)