Review of the most interesting materials on data analysis and machine learning №39 (March 9 - 15, 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

Risk Protection Machine Learning System Architecture
SQL-like queries for real-time stream analytics
Apache Spark 1.3 Announcement - A brief overview of the features of the new version of Apache Spark.
New version R 3.1.3 released
Apache Spark: Rising Stars

Machine learning - 2. Nonlinear regression and numerical optimization - statistics on viewers and target actions of the audience is accumulated, and it was this that served as the starting point for this article. In it, the author will briefly consider an example of nonlinear regression (namely, exponential) and use it to build a conversion model, highlighting two groups among users.
Working with metagrid structures in Python — the MetaNet library — in this article, the author will discuss some of the prerequisites for the emergence of a tool for modeling metasystems.
Visual linear approximation with Gnuplot
Deep Learning Equipment Selection Guide
Deep Learning, Curse of Dimension and Auto-Encoders
Use Deep Learning to understand textual information.
Python: scikit-learn - classifier training with non-numeric signs
How machine learning algorithms work (part 1). Artificial neurons and single-layer neural networks
Implementing a naive Byse classifier on Apache Flink
Machine learning for beginners (part 1)
Job Description of the Genetic Algorithm
Data processing and machine learning in Python. Presentation and code examples
Clustering by k-means method in Python
Introduction to Microsoft Azure Machine Learning Studio
Improving the performance of Apache Spark (Part 1)
Gravitational Clustering: A New Teaching Algorithm. Description and implementation

Introduction to Deep Learning. A set of video lectures
10 major errors in data analysis
Talking Machines: Episode 6: Interviews with Geoffrey Hinton, Yoshua Bengio and Yann LeCun: The Future of Machine Learning from the Inside is the sixth episode of the “Talking Machines” podcast series, in this case a continuation of the conversation with Geoffrey Hinton (Google, University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook, NYU).

Airpal: a web application for working with SQL - Airpal is a web application designed to work with databases, which is designed to complement PrestoDB from Facebook when analyzing information. And in this post tells about its capabilities and features.
Creating a Single View in MongoDb (Part 1): Reviewing and Analyzing Data
Apache Spark big data processing
Apache Spark with Neo4j using Docker Compose

Source: https://habr.com/ru/post/253115/