Overview of the most interesting materials on data analysis and machine learning No. 27 (December 15 - 21, 2014)

I present to you the next issue of a review of the most interesting materials on the topic of data analysis and machine learning.

General

•   IBM has made Watson Analytics available to everyone
•  Artificial intelligence is not a threat to us
•   Start using machine learning today - a good post from the author of the MachineLearningMastery blog, which will help beginners quickly learn basic things from the field of machine learning and start using machine learning algorithms in practice.
•  Baidu announces a breakthrough in speech recognition and claims to outperform Google and Apple
•  Top 10 Big Data Startups in 2014
•  5 Deep Learning Startups to Watch Out for in 2015
•  IBM Watson Analytics vs. Microsoft Azure Machine Learning (Part 1) - Comparison of two analytical systems from the authors of the blog KDnuggets.com.
•  Data Mining (and Statistical Analysis) the most requested skills according to LinkedIn for 2014
•  The most sought-after skills in Data Science and Data Mining are an interesting study from the authors of the KDnuggets.com blog.
•  List of open source machine learning tools from KDnuggets.com
•  The best data visualization projects in 2014
•  22 key big data terms everyone needs to understand
•  IBM Big Data & Analytics Hub Infographic: Four Vs in Big Data
•  Big Data Forecasts for 2015 from Big Data Analytics News
•   2014 R Resources List from Revolution Analytics
•  What every machine learning library can borrow from Vowpal Wabbit
•  Key Machine Learning Trends in 2014 Based on the Results of the Neural Information Processing Systems (NIPS) 2014 Conference
•   List of useful resources on R from DZone.com
•  2015 Big Data Forecasts
•  6 Big Data forecasts for 2015 from Information Week
•  2015 Data Science Highlights from Analytics Vidhya
•  The announcement of the new version of BabelNet is an article about the release of version 3.0 of the popular multilingual dictionary and the semantic network BabelNet, in which Russian is also present.
•  Announcement of Apache Spark 1.2
•   Htmlwidgets for R: a library for visualizing data in R using JavaScript
•   Scientific Approach to Solving Data Analysis Problems

Theory and algorithms of machine learning, code examples

•    Hacker Guide to Neural Networks. Schemes of real values. Templates in the "reverse" stream. One Neuron Example
•    Oil Rows in R
•    Security Scanners: Automatically Validate Vulnerabilities Using Fuzzy Sets and Neural Networks
•    Python linear regression implementation
•   Sentiment Analysis using kimono and MonkeyLearn
•   Optimizing memory usage in R is a useful article from the popular Yhat blog on optimizing memory usage in the R programming language.
•   Hierarchical clustering using R (using D3.js and Shiny)
•   Ask a Data Scientist: Ensemble Methods - another article from the popular insideBIGDATA portal from the Ask a Data Scientist series, in this issue we will talk about such a concept as Ensemble Methods.

Machine Learning Competitions

•   Convolution Neural Network Example for Facial Keypoint Detection Kaggle challenge

Online courses, training materials and literature

•    Stepic Online Course: Fundamentals of Statistics - The course introduces students to the basic concepts and methods of mathematical statistics.
•    Udacity Data Analyst Nanodegree - A brief overview of Udacity Data Analyst Nanodegree.
•    A course on data visualization using D3.js - not so long ago a new, quite curious course appeared on the Udacity online learning site, created jointly with Zipfian Academy and dedicated to the topic of data visualization and the use of the popular visualization library D3.js.
•    List of books on hands-on machine learning is a good list of books on hands-on machine learning from the author of the MachineLearningMastery blog.
•   The 14 Best Big Data Books in 2014
•   Overview of Introduction to Data Science with R
•   Overview of Data Science at the Command Line
    Free e-book Big Data Basics
    Free e-book Big Data Analytics for Dummies
    Free e-book Practical Machine Learning: Innovations in Recommendation

Videos

•    Badoo talk video from Highload 2014
•     Data modeling in NoSQL - in this video, Jan Steemann (Senior Developer, triAGENS) will talk about how to correctly model data in NoSQL repositories and provide some good practical examples.
•     Apache Cassandra for beginners - in this post are two video lectures that will help you understand the basic concepts of Apache Cassandra.
•   IBM Watson in action

Data engineering

•   30-Year NBA Data Processing with MongoDB Aggregation
•   Краткое введение в экосистему Hadoop
•  10 прогнозов по экосистеме Hadoop на 2015 год
•  Почему 2015 будет годом NoSQL
•  SparkOnHBase от Cloudera — статья про интересный проект от компании Cloudera под названием SparkOnHBase с примерами использования.
•  16 NoSQL хранилищ, за которыми стоит следить — полезный список из 16 NoSQL хранилищ с небольшим описанием каждого с блога KDnuggets.com.
•   Введение в NoSQL — неплохой краткий рассказ про NoSQL хранилища от автора блога Analytics Vidhya.
•  Прогнозы на 2015 год в области хранилищ данных от DataVersity
•  10 лучших постов с блога Cloudera в 2014 году

Обзоры

•   Интересное из мира R (15-21 декабря 2014 г.)
•  Еженедельный дайджест от DataScienceCentral (22 декабря)
•  Лучшие материалы за неделю от KDnuggets.com (7 — 14 декабря)
•  The weekly collection of the best materials from R1Soft (December 19)
•  Best Resources of the Week from Data Elixir (No.14)
•  The most interesting materials from Freakonometrics No. 193
•  The most interesting materials from Freakonometrics No. 194
•  The most interesting materials on High Scalability (December 19)

Previous issue:  Overview of the most interesting materials on data analysis and machine learning No. 26 (December 8-14, 2014)