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The Essential Machine Learning Foundations

Jon Krohn

Published by Pearson (March 25, 2022)

ISBN-13: 9780137903238

Course

$899.99

Product details

28.2 hours of video; Quizzes; Credly badging; 365-day course access

Includes

  • Machine learning theory
  • Linear algebra fundamentals
  • Deep learning ML algorithms
  • Data variable type and probability distribution

Language: English

Product Information

An outstanding data scientist or machine learning engineer must master more than the basics of using ML algorithms with the most popular libraries, such as scikit-learn and Keras. To train innovative models or deploy them to run performantly in production, an in-depth appreciation of machine learning theory is essential, which includes a working understanding of the foundational subjects of linear algebra, calculus, probability, statistics, data structures, and algorithms. When the foundations of machine learning are firm, it becomes easier to make the jump from general ML principles to specialized ML domains, such as deep learning, natural language processing, machine vision, and reinforcement learning.

This master class includes the following courses:

  • Linear Algebra for Machine Learning
  • Calculus for Machine Learning
  • Probability and Statistics for Machine Learning
  • Data Structures, Algorithms, and Machine Learning Optimization
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