
BOOKS - PROGRAMMING - Машинное обучение

Машинное обучение
Author: Хенрик Бринк, Джозеф Ричардс, Марк Феверолф
Year: 2017
Format: PDF
File size: 42 MB
Language: RU

Year: 2017
Format: PDF
File size: 42 MB
Language: RU

The book provides a comprehensive overview of the field of machine learning, from its history and basic concepts to its applications in various industries and the challenges it faces. The book "Machine Learning" by [author's name] is a comprehensive guide to the field of machine learning, covering its history, basic concepts, and applications in various industries. The author argues that understanding the process of technological evolution is crucial for the survival of humanity and the unity of people in a world filled with conflict. The book begins with an introduction to the concept of machine learning, explaining how it has evolved over time and how it differs from traditional programming. The author then delves into the fundamental principles of machine learning, including supervised and unsupervised learning, deep learning, and neural networks. The book also explores the various applications of machine learning in different industries, such as healthcare, finance, marketing, and transportation. Each chapter provides examples of real-world applications and case studies to illustrate the concepts discussed.
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