Review of the most interesting materials on data analysis and machine learning №29 (December 29, 2014 - January 4, 2015)

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

• Vkontakte analysis on the example of book preferences of cultural community members
• The Deep Learning Resource List is a good list of links to various useful Deep Learning resources.
• Protect your online service with machine learning and big data
• Talking Machines - an interesting site called “Talking Machines”, which will regularly publish interviews with well-known experts in the field of machine learning.
• 7 best posts from the blog "Beautiful Data" for 2014
• Projections to the labor market in the area of ​​Big Data in 2015
• 5 Big Data trends that are worth paying attention to in 2015
• Big Data Analytics News Big Data 2015 Forecasts
• 10 best articles for the year from the blog "Microsoft Technet Machine Learning"
• Best material for the year: NoSQL Zone

Theory and algorithms of machine learning, code examples

• Hacker's guide to neural networks. Chapter 2: Machine Learning. We generalize SVM to a neural network.
• Hacker's guide to neural networks. Chapter 2: Machine Learning. More traditional approach: Loss functions
• Playing with genetic algorithms
• Analyze text in Excel using Azure Machine Learning and Power Query
• Ask a Data Scientist: How to become Data Scientist - another article from the popular portal insideBIGDATA from the series “Ask a Data Scientist”, this issue discusses how to become Data Scientist and what kind of activity a profession has with that name.
• A brief introduction to deep learning
• A brief introduction to R is a small presentation on the basics of the R programming language.
• Build a language detector using Python and scikit-learn
• Matrix Matrix Cheat Sheet is a good Matrix Matrix Matrix , Python, R and Julia cheat sheet.
• 11 types of retraining (Overfitting) and tips on how to avoid them
• Logistic regression classification and particle swarm optimization - an article from the latest MSDN Magazine is an interesting example of logistic regression classification using optimization of one of the subspecies of the particle swarm method, namely Multi-Swarm Optimization (MSO). Code examples are in the C # programming language.
• Stochastic Gradient Boostering: Choosing the Optimal Number of Iterations
• Data Visualization with GAE Python, D3.js and Google BigQuery (part 4)
• LambdaNet: Haskell AI Library
• Work with Pivot Table in Pandas
• Python Image Basics

Machine learning competitions

• Solution for the competition for time series forecasting - the author of the blog Wiekvoet in this post describes one of the solutions for the machine learning competition devoted to the analysis of time series from Rob J Hyndman.
• Interviews with the winners of the CIFAR-10 competition - another interview with the participants of the recently completed machine learning competition CIFAR-10 at Kaggle, which was dedicated to image recognition, in this case, the interview with the winners of this competition.

Online courses, educational materials and literature

• References on machine learning from Michael I. Jordan (Berkley)
• Review of the Applied Predictive Analytics book
• The list of recommended econometrics literature is another list of econometrics literature that Professor Dave Giles advises to read.

Video

• Demystification of Neural Networks - a series of short tutorial videos on the subject of neural networks.
• Several interesting videos on the topic of Deep Learning - this post presents a small selection of several interesting videos on the topic of Deep Learning.

Data engineering

• NoSQL trends in 2015 from DataVersity
• 10 best articles for the year on Hadoop from the blog Hortonworks

Reviews

• Weekly Digest from DataScienceCentral (January 5)
• The best materials for the week from KDnuggets.com (December 21 - 27)
• Weekly collection of the best materials from R1Soft (January 2)
• The best resources for the week from Data Elixir (№16)
• Data Mining News from MyDataMine.com (December 30)
• Big Data News from MyDataMine.com (January 1)
• The most interesting materials from Freakonometrics # 198
• The most interesting materials from Freakonometrics №199
• The most interesting materials from Freakonometrics №200
• The most interesting materials on High Scalability (January 2)

Previous release: Review of the most interesting materials on data analysis and machine learning №28 (December 22 - 28, 2014)