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.

Read more.

Career Relevance by Data Role

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

Similarity Scores (Out of 100)

Subscribe for updates and new courses
Or create a account
Fast Facts
AlgorithmsClassificationData ModelingDimension ReductionMachine LearningOptimizationProbabilityRegression

Similar Opportunities
Machine Learning

Coursera - Stanford University

Data Analytics Foundations for Accountancy II

Coursera - University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python

Coursera - University of Illinois at Urbana-Champaign

AI Fundamentals for Non-Data Scientists

Coursera - University of Pennsylvania