Review of the most interesting materials on data analysis and machine learning №14 (September 15 - 21, 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. I also want to note that I released the first digest on high performance and Data Enginering: Review of the most interesting materials on high performance (September 15-21 , 2014) . I think that he may also be interested in someone.

General

• KDD 2104: Google KV and Topic Modeling
  The authors of the URX blog share their impressions of the recently held KDD 2014 conference in New York, namely, they talk about the system called Google Knowledge Vault, which is actively used by Google to improve search quality and another interesting topic of topic modeling.
• Top 10 SlideShare Presentations on Data Science and Big Data
  An article with a list of 10 presentations from the SlideShare website on Data Science and Big Data topics with the most views.
• CuDNN Library for Deep Learning
  The NVIDIA library's announcement for working with Deep Learning algorithms, which uses GPU for computing, this approach allows to increase the efficiency of machine learning algorithms.
• Statistics against heuristics
  Interesting thoughts of the author of the article about when it is reasonable to use ephristic approaches.
• In London, the conference "Effective use of the language R"
  The author of the “R: Data Analysis and Visualization” blog talks about the “Effective Applications of the R Language (EARL)” conference on the use of the R programming language.
• Introduction to Predictive Analytics (Part 2)
  The second part of the new series of articles from the insideBIGDATA portal on Predictive Analytics. In this case, we will focus on the areas of the use of Predictive Analytics in the corporate sphere of business.
• Introduction to Predictive Analytics (Part 3)
  The third part of the new series of articles from the insideBIGDATA portal on Predictive Analytics. The third part describes the main approaches that are used in supervised learning, such as regression, classification and clustering.
• Top questions at the analyst job interview
  A small article that contains several popular questions that are asked at the interview for the position of analyst.
• Vincent Granville about Big Data
  Vincent Granville is the author of DataScienceCentral, gives his thoughts and gives the definition of Big Data.
• How to succeed in Big Data
  A small article with infographics that tells about the main factors that influence the success of the company in the field of Big Data.
• How to become a Data Scientist
  A few tips on how to become Data Scientist and be successful in data analysis.
• R support in Azure ML
  A small article from the blog of Microsoft Technet Machine Learning about the possibility of using R in the cloud solution Azure ML.
• 5 key ideas for understanding Big Data
  An interesting post from the portal Smart Data Collective, which tells 5 key points that will help derive benefit from the data most effectively.
• The use of machine learning for trading (part 2)
  Continuing the theme of machine learning for trading.
• 10 experts in machine learning
  A list of 10 famous people in the field of data analysis and machine learning.
• Data Mining vs. (?) Data Science
  Some more interesting thoughts about terminology.
• Introduction to machine learning and a quick start with Azure ML
  An interesting article describing the potential of a new cloud-based product for machine learning from Microsoft called Azure ML.

Machine learning competitions

• Description of the “Higgs Boson Machine Learning Challenge” winning methodology
  An interesting story from the winner of the Higgs Boson Machine Learning Challenge machine learning competition at Kaggle, where he describes the approach that brought him success in this competition.
• Morse code decoding competition on Kaggle in Class
  In this small post we will discuss a new competition that began on the Kaggle in Class called Morse Learning Machine - v1. Morse Learning Machine participants are expected to build a system that will decode Morse code messages contained in audio files.
• Microsoft Hackathon
  An article from the blog Microsoft Technet Machine Learning, which tells about the past under the auspices of Microsoft hackathon on machine learning.

Online courses and training materials

• Announced new online course "Process Mining: Data science in Action"
  Not so long ago, a new online Coursera course on data analysis was announced, entitled “Process Mining: Data science in Action”, presented by Eindhoven University of Technology.

Literature

• The book "Forecasting Principles and Practices" in free access
  Rob J Hyndman, in his blog, said that his popular book Forecasting Principles and Practices can now be found online for free.

Theory and algorithms of machine learning, code examples

• GPS data visualization
  A good example of code for visualizing data from a GPS device using the R programming language.
• Configure .RProfile
  The article is devoted to a useful and interesting topic of setting the parameters for launching R using the configuration file .RProfile.
• Data Visualization with R Caret
  The author of the blog MachineLearningMastery tells about the possibilities of data visualization in the popular machine learning library Caret for the R programming language.
• Using R Caret for Predictive Modeling
  The author of the blog MachineLearningMastery talks about using the popular Caret library for the R programming language for Predictive Modeling.
• Improving the training model with R Caret
  The author of the blog MachineLearningMastery talks about the possibility of improving the training model using the Caret library for the R programming language
• A series of slides on data analysis on R
  In this slide set, Yanchang Zhao covers seven fairly interesting topics in data analysis and uses the R programming language for code examples.
• Diagnostics of linear regression models. Part 1
  The first part of a series of articles on a rather interesting topic of diagnosing linear regression models from the blog “R: Analyzing and Visualizing Data”. Code examples in the article are written in the R programming language.
• Introduction to Probabilistic Programming
  A pretty good introduction to the interesting topic of probabilistic programming with code examples.
• Analysis of the tonality of the text in film reviews
  An interesting example of the analysis of textual information, namely the analysis of the tonality of the text in film reviews, using the popular graph database Neo4j and the Java programming language.
• Machine learning on a live environment
  Colin Ristig talks about a rather interesting and important question that is sometimes forgotten - the operation of the machine learning algorithm in a lively environment.
• Deep Learning Bibliography
  A large list of various scientific materials on the popular method of machine learning Deep Learning, categorized.

Video

• Andrew Ng on Deep Learning
  Andrew Ng from Stanford University spoke at the 2014 Robotics: Science and Systems Conference with an interesting talk about Deep Learning.
• Moscow Data Science. September 2014 Meetup
  On September 5, I visited a rather interesting meetup called Moscow Data Science - “September 2014 Meetup”, organized by Mail.ru. The link will allow you to watch the video from this meeting, for convenience, I have marked the start time and the duration of each participant’s performance.

Data engineering

• Who uses Hadoop and how
  An interesting article about the current state of affairs in the Hadoop ecosystem: who uses it and how, as well as the prospects for development.
• Upcoming meetings on Data Science in Moscow
  In the near future, several interesting meetings are planned at once, so I decided to publish a small list of upcoming interesting meetings on the topic of data analysis and high performance in Moscow.
• 10 ways to work with Hadoop through SQL queries
  10 tools and ways to work with Hadoop through SQL queries and a small description of each.
• Welcome to HadoopKitchen
  Announcement of a meeting dedicated to Hadoop, which will be held in the office Mail.ru. I am also going to attend this event.
• Introduction to HBase
  An article containing video and explanatory material on HBase - data storage from the Hadoop ecosystem, and also on situations when this solution should be applied and when it is not.
• Apache Spark 1.1 Announcement
  Announcement of the new version of Apache Spark 1.1 and a description of the main innovations.
• Stream processing in Apache Spark 1.1
  An article about new streaming processing capabilities in Apache Spark 1.1 and how to use this functionality.
• Apache Spark 1.1 statistical calculations
  A description of the advanced statistical computing features in Apache Spark 1.1.

Reviews

• 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.
• Top KDnuggets Articles (September 7 - 13)
  The list of the best articles of the popular KDnuggets portal from September 7 to September 13.
• Data Mining News
  A small list of interesting resources on Data Mining on September 17.
• The most interesting materials from Freakonometrics
  Collection of the most interesting materials from the popular portal Freakonometrics

Previous release: Review of the most interesting materials on data analysis and machine learning №13 (September 8 - 14, 2014)

PS I think that many would like to see more material on the subject in Russian, so if someone can advise on those, I would be very grateful and add them to my list of resources that I follow.