Setareh Rafatirad

(Author)

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective (2022)Hardcover - 2022, 10 July 2022

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective (2022)
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Print Length
458 pages
Language
English
Publisher
Springer
Date Published
10 Jul 2022
ISBN-10
3030967557
ISBN-13
9783030967550

Description

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.

Product Details

Authors:
Setareh RafatiradHouman HomayounZhiqian ChenSai Manoj Pudukotai Dinakarrao
Book Edition:
2022
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
10 July 2022
Dimensions:
23.8 x 16 x 2.79 cm
ISBN-10:
3030967557
ISBN-13:
9783030967550
Language:
English
Location:
Cham
Pages:
458
Publisher:
Weight:
884.5 gm

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