Overview of the most interesting materials on data analysis and machine learning No. 2 (June 16 - 23, 2014)


    In the next review of the most interesting materials on the topic of data analysis and machine learning, quite a lot of attention is paid to the popular set of machine learning algorithms Deep Learning and its practical application. Several articles are devoted to what there are ways for your own development as a specialist in data analysis and machine learning. A few articles also cover topics such as Data Engineering and look at such popular products as Cassandra and Apache Kafka. But this issue begins with an overview of online courses starting in the near future related to the topic of data analysis and machine learning.

    Data Science Online Courses (MOOC) Coming Soon


    • Machine Learning  (Coursera - Stanford University)
      One of the most famous Machine Learning courses, taught by Stanford University professor Andrew Ng. The course began on June 16 and will last 10 weeks. The course is quite simple and clear, it does not require any special knowledge for its successful completion, while it covers quite a lot of Machine Learning areas. You can still have time to register for this session of the course, having managed to pass the first test.
    • Mathematical Biostatistics Boot Camp 1  (Coursera - Jonhs Hopkins University)
      The first part of the course on biostatistics from Johns Hopkins University. It began on June 16 and will last 7 weeks. It is an unofficial addition to the specialization of Data Science from the same university. Well covers the basics of statistics and probability theory. Again, you can still manage to register for this session of the course, having managed to pass the first test.
    • Introduction to Data Science  (Coursera - University of Washington)
      A course on the basics of Data Science from the University of Washington. The course starts on June 30 and will last 8 weeks. One of the most popular online courses on the basics of Data Science.
    • SABR101x Sabermetrics 101: Introduction to Baseball Analytics  (edX - Boston University)
      Although the course began in early May, it is still not too late to join it, since the deadline for passing tests for all modules is July 18. The course explains many aspects of Data Science and Big Data based on an analysis of sports statistics (in this case, baseball).

    Data Analysis and Machine Learning Materials



    Previous issue:  Overview of the most interesting materials on data analysis and machine learning No. 1 (June 9 - 16, 2014)

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