Description
Taylor and Francis Ltd Machine learning 1st Edition 2022 Softbound by Mirtaheri, Seyedeh Leili
- Offers a comprehensive technological path from basic theories to categorization of existing algorithms_x000D__x000D_- Covers state-of-the-art Auto Encoder, Generative Networks, Synthetic data, Self-Driving cars and cognitive AI-based decision makings. _x000D__x000D_- Includes practical evaluations with python on GAN and using synthetic data _x000D__x000D_- Provides an overview of the trends, and applications to provide you with ML landscape_x000D_ _x000D_
1. Introduction 2. Linear Algebra 3. Machine Learning 4. Some Practical Notes 5. Deep Learning 6. Generative Adversarial Networks 7. Implementation_x000D_