Description

This book is a general introduction to machine learning that can serve as a reference book for researchers and a textbook for students. It covers fundamental modern topics in machine learning while providing the theoretical basis and concept u al tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms.

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The techniques and tools covered in Foundations of Machine Learning are most similar to the requirements found in Data Scientist job advertisements.


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Fast Facts
Techniques
AlgorithmsClassificationData ModelingDimension ReductionMachine LearningOptimizationProbabilityRegression

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