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

• Why and how to use data visualization?
• Airbnb Search Technology
• YaC 2014 Live Webcast
  October 30, the company "Yandex" will hold a conference "Yet another Conference 2014", which will be broadcast online, with a fairly large number of interesting reports.
• Meet - Revolution R Open
  On October 15, 2014, Revolution Analytics announced the release of its advanced distribution kit, R - Revolution Open R.
• Comparing Vowpal Wabbit, Liblinear / SBM and StreamSVM
  Comparing the performance of Vowpal Wabbit, Liblinear / SBM and StreamSVM based on the Webspam dataset.
• Using R Notebook in the Cloud
  R Notebook: an interesting IPython Notebook adaptation to the work of the R programming language from the Domino Data Lab company.
• How Big Data Can Improve Our Lives
  Interesting infographics related to Big Data.
• Publish machine learning web services to Azure ML
  An article from the blog Microsoft Technet Machine Learning, in which the author will talk about the capabilities of the Azure ML cloud service, allowing data analytics to place their services in the cloud and publish them in the Azure Marketplace app store.
• Revolution R Open and Revolution R Plus
  Announcement of the Revolution R Open and Revolution R Plus from Revolution Analytics.
• 9 options for using BigML
  An article from the BigML blog that, using infographics, tells you about 9 different ways to use the BigML machine learning platform.
• Machine Learning in the Cloud
  Another interesting article from the blog of Microsoft Technet Machine Learning, in this case about distributed cloud computing for machine learning, and of course about Azure ML.
• Intersnyh data sets for Data Science projects (part 1)
  A good list of various data sources.
• Intersnyh data sets for Data Science projects (part 2)
  A good list of various data sources.
• 5 areas in which you need to develop as a machine learning specialist
  A good article from the author of the blog MachineLearningMastery, in which he talks about 5 areas that you should pay attention to when developing your machine learning skills.
• Introduction to Big Data in the financial sector (part 4)
  The fourth part of a series of articles about the use of Big Data in the banking and financial sectors from the insideBIGDATA portal.
• 12 Data Science Camps
  An interesting list of training camps on Data Science, which, I think, will be constantly updated.

Theory and algorithms of machine learning, code examples

• Latent semantic analysis: implementation
• How do we cluster gifts in OK
• How to identify losses in sales
• Machine Learning Process (Part 1)
  The first part of a series of articles in which the author will talk about the various stages of the machine learning process (basically, it will be about learning with a teacher - Supervised learning).
• Deep Learning with Caffe and cuDNN
  An interesting article from the nVidia blog about Deep Learning machine learning using the Caffe framework and the cuDNN library.
• Deep Learning on Amazon EC2 GPU using Python and nolearn
  An article about the possibilities of using Amazon EC2 GPU for machine learning using the Deep Learning method, as well as using the Python programming language and the nolearn library.
• Instagram analysis with R
  A small article about working with data from the popular Instagram service using the R programming language.
• The implementation of the method k nearest neighbors from scratch
  Implementing the k-nearest-neighbor method from scratch using the Python programming language from the author of the popular blog MachineLearningMastery.
• Introduction to Python Pandas
  A set of library resources for analyzing Pandas data for the Python programming language.
• Visualizing Bayes Rule
  Visual animated visualization of the work of the Bayesian rule.
• Introduction to Neural Networks
  A fairly simple description of the work of neural networks with the blog Analytics Vidhya.
• Linear regression and matrix operations in Excel
  Description of the possibility of using linear regression and matrix operations in Excel.

Online courses, educational materials and literature

• New specialties on Coursera
  Announced 18 new specializations on Coursera.
• Foundations of Data Analysis Online Course
  Recently, edX announced a new online course from the University of Texas at Austin on a topic of data analysis called Foundations of Data Analysis.
• Review of the book “Scaling Apache Solr”
  Review of the book “Scaling Apache Solr”, devoted to the issues of scaling the popular full-text search platform Apache Solr.
• Book Data Mining for Managers
  Announcement of the new data analysis book Data Mining for Managers.

Video

• Yoshua Bengio about Deep Learning at the KDD 2014 conference
  Youshua Bengio (Department of Computer Science and Operations Research, University of Montreal) with an interesting report on Deep Learning at the KDD 2014 conference.
• Using the dplyr library to work with data in R
  Interesting video about using the dplyr library for various data manipulations in the R programming language.
• Interactive visualization with rCharts
  Ramnath Vaidyanathan (Assistant Professor at McGill University) in this little useR conference video! 2014 talks about the possibilities of interactive visualization using the R programming language and the rCharts library.

Data engineering

• Hadoop: what, where and why
• What's new in RavenDB 3.0
  In this post will be presented a collection of materials about the fairly popular database RavenDB and its new version RavenDB 3.0.
• Using RethinkDB with Compose Cloud
  In addition to MongoDB and ElasticSearch in the Compose cloud, the ability to use the popular RethinkDB database has appeared, the details of working with this database in the Compose cloud will be discussed in this article.
• Using Apache Helix in LinkedId
  A description of the capabilities of Apache Helix and the use of this framework in the infrastructure of the company LinkedIn.
• Modeling in document-oriented databases (part 1)
  The first part of a curious series of articles from the Couchbase blog, which will consider the issue of building effective models in document-oriented databases.
• Hadoop current state
  An article on the current state of affairs in the Hadoop ecosystem, presented in the form of a visual infographic.
• Sharding traps (part 1)
  The first part of a series of articles on the intricacies of using sharding in the popular MongoDB NoSQL storage.
• Comparing NoSQL and SQL
  A small article is another comparison of NoSQL and SQL.

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.
• Data Mining News
  A small list of interesting resources on Data Mining on October 15.
• The best materials for the week (October 5 - 11)
  Best material for the week on data analysis from the portal KDnuggets.
• 10 best materials of the week
  10 best materials of the week on the subject of Data Science from the portal "Data Science Report".
• Freakonometrics # 174 Most Interesting Materials
  A collection of the most interesting materials from the popular portal Freakonometrics.
• Freakonometrics # 173 Most Interesting Materials
  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 10 - 16)
  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 №17 (October 6 - 12, 2014)