Overview of the most interesting materials on data analysis and machine learning No. 38 (March 2 - 8, 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.
- How to speak the language "Data Science"
- Bond. James Bond. Handwriting robotic fake for marketers and social engineers.
- Seventh annual Microsoft Research Machine Learning and Intelligence Summer School - collaboration with ACM Europe
- Google wants to measure the importance of sites by facts, not links
- Wargaming and Yandex collaborate in Big Data
- Who is going to make money on the upcoming boom of artificial intelligence systems?
- EBay Launches Pulsar Open Source Tool for Taming Big Data
- Licensing access to Big Data as a means of monetizing Twitter
- Why Apache Spark is changing Silicon Valley
- How to become an expert in the field of machine learning - some useful tips for beginners in the field of machine learning from the author of the MachineLearningMastery blog, which will help those who want to build a career in this field, but do not know where to start.
- 8 reasons for the popularity of Apache Spark
- Three technologies that will change the Internet - a few words about now popular technologies based on the use of machine learning: speech recognition, image search and video analysis.
- How PayPal uses Deep Learning to fight fraud
- IBM acquires Deep Learning startup AlchemyAPI
- Three key steps for building predictive machine learning applications
- Spragunr library: Implementation of the Deep Q-learning algorithm based on Theano library
Theory and algorithms of machine learning, code examples
- Search for texts that are not relevant to the topic and finding similar articles
- Social Network Analysis: Spark GraphX
- Creating a musical composition map is an interesting example of visual classification of musical compositions using machine learning and using the Python programming language.
- Factor analysis
- R: Plotting using the built-in visualization functionality - when mentioning the visualization topic using the programming language R, we often talk about the ggplot library, but do not forget about the built-in visualization capabilities of Base R Plots.
- Machine learning traps. Measuring Model Efficiency (Part 1) - A discussion of the certainly important topic of measuring the performance of your predictive model.
- Gradient model training using C #
- Natural language processing using deep neural networks and the Torch library
- Interactive visualizations using D3.js, DC.js, Python, and MongoDB
- PageRank Calculation Example Using Apache Hadoop
Online courses, training materials and literature
- Online course from Stanford University: Deep Learning for Natural Language Processing
- MIT Online Course on edX: Introduction to Computational Thinking and Data Science
- MIT Online Course on edX: The Analytics Edge
- Online Course at Coursera: Data Analysis and Statistical Inference
- Review of Time Series Databases and New Look at Anomaly detection
- Free online book: Kalman and Bayesian Filters in Python
- Free Book Review: The Data Analytics Handbook: Big Data Edition
- Using Apache Storm for real-time analytics
- Using MongoDb with Hadoop and Spark: Part 2 - an example of working with Hive
Using MongoDb with Hadoop and Spark: Part 3 - an example of working with Spark and key findings
- Interesting from the world of R (March 2-8, 2015)
- Best Content of the Week from KDnuggets.com (February 22-28)
- Top February Content from KDnuggets.com
- DataScienceCentral Weekly Digest (March 9th)
- Data Science News from MyDataMine.com (March 8)
- Big Data News from MyDataMine.com (March 8)
- Best Resources of the Week from Data Elixir (No.25)
- The weekly collection of the best materials from R1Soft (March 6)
- This Month in the Hadoop Ecosystem (February 2015)
- Hadoop Ecosystem News from MyDataMine.com (March 3)
- The most interesting materials on High Scalability (March 6)
Previous issue: Overview of the most interesting materials on data analysis and machine learning No. 37 (February 23 - March 1, 2015)