MACHINE LEARNING PART 2

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  • DURATION
    10 WEEKS
  • SUBJECT AREA
    Artificial Intelligence
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    3.0 HP
  • INSTITUTION
    Örebro University
  • START DATE
    2021-03-31
  • END DATE
    2021-06-04

Applications 2020-09-15 - 2021-03-16

COURSE DESCRIPTION

Producing good machine learning models using the algorithms discussed in Introduction to Machine Learning – Part I typically depends on proper usage and preprocessing of the data, as well as the ability to interpret and act on the results generated by the method. Thereto, you will learn in this course more about the practical side of applying the machine learning techniques to actual problems including feature extraction methods, to figure out which part of the data is relevant to your problem, the bias-variance dilemma, to figure out if you have enough data for your model, ensemble learning, for combining more than one machine learning technique, and other experience-based practical recommendations. Armed with this knowledge, you will have to solve a classification problem in competition with the rest of the class, getting a hands-on experience in using Machine Learning.

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