Machine Learning - Theory to Applications (Paperback)

- Offers a comprehensive technological path from basic theories to categorization of existing algorithms - Covers state-of-the-art Auto Encoder, Generative Networks, Synthetic data, Self-Driving cars and cognitive AI-based decision makings. - Includes practical evaluations with python on GAN and using synthetic data - Provides an overview of the trends, and applications to provide you with ML landscape