Description: Applied Machine Learning, Hardcover by Dinakarrao, Sai Manoj Pudukotai; Rafatirad, Setareh; Homayoun, Houman; Chen, Zhiqian, ISBN 3030967557, ISBN-13 9783030967550, Brand New, Free shipping in the US This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
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Book Title: Applied Machine Learning
Number of Pages: Xv, 458 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Electronics / Circuits / General, General, Electronics / General, Cybernetics
Publication Year: 2022
Illustrator: Yes
Genre: Computers, Technology & Engineering, Science
Item Weight: 33.9 Oz
Author: Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Zhiqian Chen
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover
