Overview of the most interesting materials on data analysis and machine learning No. 34 (February 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.
- Online Dating Machine Learning
- Artificial intelligence can watch videos and describe what it sees - a curious post with a short video about the startup Clarify, which specializes in the field of artificial intelligence and develops a product that can describe what is happening in the proposed videos based on the use of Deep Learning algorithms.
- Four great data visualizations
- 6 tips to help you become a great Data Science Specialist
- One of the creators of Google Brain talks about why he is currently working on creating Chinese neural networks - an interesting interview with Andrew Ng.
- Why do many data analysts choose Python? - An interesting question asked on Quora, and some useful answers.
- Data Science: Should I study Python or R?
- Why now is the time to learn the R programming language
Theory and algorithms of machine learning, code examples
- Feature Engineering Example in Machine Learning
- Automatic age rating system for facial images
- How Shazam music recognition algorithm works
- Practical Data Science with Python
- A series of lessons in machine learning and natural language processing. Lesson 1: Working with Text
- Understanding text from scratch is a post by Xiang Zhang and Yann LeCun on the use of convolutional neural networks for text analysis.
- A few words about Shiny is a short post that will tell you about the popular Shiny visualization library for the R programming language and the possibilities of publishing your Shiny applications on the Shinyapps.io portal.
- Quickcheck: randomized unit testing for R - a short post about an interesting unit testing library for the programming language R.
- Pandas data analysis is a small example of using the Pandas library, written for the Python programming language, to analyze data.
- Machine learning result
Online courses, training materials and literature
- Partially Derivative: Episode 12: Partially Deflated is another episode of the popular podcast “Partially Derivative”.
- Google again recorded the largest quarterly spending on data centers
- Can Microsoft Cosmos compete with Hadoop
- Using Apache Crunch to process data in Spotify is an interesting article; for those who use MapReduce, they are not yet ready to use Apache Spark, but want to get similar features.
- Published Apache Hive 1.0.0
- Interesting from the world of R (February 2-8, 2015)
- Interesting from the world of R (January 26 - February 1, 2015)
- Best January Materials from KDnuggets.com
- Best Content of the Week from KDnuggets.com (December 25 - 31)
- Digest of the best resources from DataScienceCentral (February 5)
- Data Science News from MyDataMine.com (February 6)
- Big Data News from MyDataMine.com (February 3)
- The weekly collection of the best materials from R1Soft (February 6)
- Best Resources of the Week from Data Elixir (No.21)
- This Month in the Hadoop Ecosystem (January 2015)
- The most interesting materials on High Scalability (February 6)
Previous issue: Overview of the most interesting materials on data analysis and machine learning No. 33 (January 26 - February 1, 2015)