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

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
July 10 2022
Author: Setareh Rafatirad (Author), Houman Homayoun (Author), Zhiqian Chen (Author), Sai Manoj Pudukotai Dinakarrao (Author)
Publisher Finelybook 出版社:Springer; 1st ed. 2022 edition (July 10 2022)
Language 语言:English
pages 页数:473 pages
ISBN-10 书号:3030967557
ISBN-13 书号:9783030967550

Book 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.

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