Machine Learning Foundations is popular PDF and ePub book, written by Taeho Jo in 2021-02-12, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning Foundations can be Read Online from any device for your convenience.
Machine Learning Foundations Book PDF Summary
This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning. Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning; Outlines the computation paradigm for solving classification, regression, and clustering; Features essential techniques for building the a new generation of machine learning.
Detail Book of Machine Learning Foundations PDF
- Author : Taeho Jo
- Release : 12 February 2021
- Publisher : Springer Nature
- ISBN : 9783030659004
- Genre : Technology & Engineering
- Total Page : 391 pages
- Language : English
- PDF File Size : 11,7 Mb
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