moat March 15, 2015 at 18:58

Overview of the most interesting materials on data analysis and machine learning No. 39 (March 9 - 15, 2015)

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

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

Machine Learning - 2. Non-linear regression and numerical optimization - statistics on views and target actions of the audience are accumulated, and it was she who served as the starting point for this article. In it, the author will briefly consider an example of nonlinear regression (namely, exponential) and with its help we construct a conversion model by distinguishing two groups among users.
Working with meta-network structures in Python - MetaNet library - in this article, the author will talk about some of the prerequisites for the emergence of a tool for modeling meta-networks.
Visual linear approximation using Gnuplot
Deep Learning Equipment Selection Guide
Deep Learning, Curse of Dimension and Auto Encoders
Using Deep Learning to Understand Text Information
Python: scikit-learn - training a classifier with non-numeric characters
How machine learning algorithms work (part 1). Artificial neurons and single-layer neural networks
Implementing a naive Bayesian classifier on Apache Flink
Machine Learning for Beginners (Part 1)
Genetic Algorithm Description
Python data processing and machine learning. Presentation and code examples
Python k-means clustering
Introduction to Microsoft Azure Machine Learning Studio
Improving Apache Spark Performance (Part 1)
Gravitational Clustering: A new learning algorithm with a teacher. Description and implementation

Introduction to Deep Learning. Set of video lectures
Top 10 Data Mistakes
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 a conversation with Geoffrey Hinton (Google, University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook, NYU).

Airpal: a web-based SQL application - Airpal is a web-based database application designed to complement Facebook’s PrestoDB when analyzing information. And in this post he talks about its capabilities and features.
Creating a Single View in MongoDb (Part 1): Overview and Data Analysis
Big Data Processing in Apache Spark
Apache Spark with Neo4j using Docker Compose

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