Machine Learning for Computer Scientists and Data Analysts. From an Applied Perspective, 1st ed. 2022, Hardback

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.

• Publisher: Springer Nature Switzerland AG
• Author(s): Sai Manoj Pudukotai Dinakarrao
• Illustration(s): 100 Tables, color; 140 Illustrations, color; 17 Illustrations, black and white; XV, 458 p. 157 illus., 140 illus. in color.
• Number of pages: 458
• Publication date: 2022
• Dimensions: 161 x 243 x 30
• Cover type: Hardback