Home High Performance Overview of the Most Interesting Materials in Data Analysis and Machine Learning #15 (September 22 – 28, 2014)

Overview of the Most Interesting Materials in Data Analysis and Machine Learning #15 (September 22 – 28, 2014)

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Overview of the Most Interesting Materials in Data Analysis and Machine Learning #15 (September 22 - 28, 2014)
Here’s another roundup of some of the most interesting content on the topic of data analysis and machine learning.

General

Machine learning competitions

Online courses and training materials

  • Overview of the Most Interesting Materials in Data Analysis and Machine Learning #15 (September 22 - 28, 2014)
    Online course "Statistical Learning"
    In January 2014, Stanford University held an online course based on the new book, An Introduction to Statistical Learning with Applications in R (ISLR). This post will include videos and presentations from that course.
  • Overview of the Most Interesting Materials in Data Analysis and Machine Learning #15 (September 22 - 28, 2014)
    Online course "The Caltech-JPL Summer School on Big Data Analytics"
    A rather unusual online course started in mid-September on Coursera. It’s essentially a collection of video lectures and materials from a summer school for machine learning from the California Institute of Technology.
  • Overview of the Most Interesting Materials in Data Analysis and Machine Learning #15 (September 22 - 28, 2014)
    Online course "Learning From Data"
    A new session of this very popular machine learning course from the California Institute of Technology and Professor Yaser Abu-Mostafa as keynote instructor kicked off the other day on edX.

References

Machine learning theory and algorithms, code examples

Videos

  • Overview of the Most Interesting Materials in Data Analysis and Machine Learning #15 (September 22 - 28, 2014)
    Using big data in finance and banking
    Portal insideBIGDATA published a rather interesting video in an article called Big Data in Banking and Financial Services, which focuses on the possibilities of using big data in the financial and banking industry.

Data engineering

Reviews

Previous issue : Review of the most interesting content on data analysis and machine learning #14 (September 15 – 21, 2014)

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