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Machine Learning Basis Реєстрація


7 Вересня 09:00 - 12:00

Machine learning is a technical science and like any technical subject, it uses mathematical language to formulate ideas. There is an increasing number of solutions that try to automate the whole machine learning process but if one does not understand mathematical formalism behind algorithms it is impossible to test and debug models which can lead to spurious insights.

In this course, students learn those concepts of linear algebra, probability theory, and statistics that are essential for exploratory data analysis, understanding and designing machine learning algorithms.

  • Linear algebra;
  • Differential calculus;
  • Probability theory;
  • Bayes theorem;
  • Distributions of random variables;
  • Null hypothesis significance testing;
  • Outliers;
  • Exploratory data analysis.


7 Вересня
09:00 - 12:00
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