<p>This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including <i>deep learning, </i>and<i> auto-encoding</i>, introductory information about <i>temporal learning </i>and <i>hid
An Introduction to Machine Learning
โ Scribed by Miroslav Kubat
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 348
- Edition
- 2nd ed. 2017
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Computers & Technology;Industries;Business & Money;Intelligence & Semantics;AI & Machine Learning;Computer Science;Computers & Technology;Data Mining;Databases & Big Data;Computers & Technology;Business & Finance;Accounting;Banking;Business Communication;Business Development;Business Ethics;Business Law;Economics;Entrepreneurship;Finance;Human Resources;International Business;Investments & Securities;Management;Marketing;Real Estate;Sales;New, Used & Rental Textbooks;Specialty Boutique;Artificia
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<p>This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including <i>deep learning, </i>and<i> auto-encoding</i>, introductory information about <i>temporal learning </i>and <i>hid
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear a
<p><p>Just like electricity, Machine Learning will revolutionize our life in many ways โ some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive