Machine Learning for Computer Scientists and Data Analysts

Machine Learning for Computer Scientists and Data Analysts
Author :
Publisher : Springer Nature
Total Pages : 465
Release :
ISBN-10 : 9783030967567
ISBN-13 : 3030967565
Rating : 4/5 (565 Downloads)

Book Synopsis Machine Learning for Computer Scientists and Data Analysts by : Setareh Rafatirad

Download or read book Machine Learning for Computer Scientists and Data Analysts written by Setareh Rafatirad and published by Springer Nature. This book was released on 2022-07-09 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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