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

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.

• | Author: Houman Homayoun, Zhiqian Chen, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao
• | Publisher: Springer Nature Switzerland AG
• | Publication Date: Jul 10, 2022
• | Number of Pages:
• | Language:
• | Binding: Hardback
• | ISBN-13: 9783030967550
• | ISBN-10: 3030967557