Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

$15.99

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Authors: Setareh Rafatirad
Year: 2022
Publisher: Springer
Language: English
ISBN 13: 9783030967550
ISBN 10: 3030967557
Categories: Computers, Artificial Intelligence (AI)
Pages: 320 / 319
Edition:

Availability: 5000 in stock

SKU: 9783030967550 Categories: ,

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao
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 forecasting to massive network optimization and house price prediction using a massive database such as Zillow. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications. Categories:
Computers – Artificial Intelligence (AI)
Year:
2022
Publisher:
Springer
Language:
english
Pages:
465
ISBN 10:
3030967557
ISBN 13:
9783030967550
File:
112 MB

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Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
$15.99

Availability: 5000 in stock