Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI 1 converted Edition by Sebastian 1718503776 9781718503779

Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI 1 converted Edition by Sebastian Raschka – Ebook Instant Download/Delivery ISBN(s): 1718503776,  9781718503779

Product details:

• ISBN 10: 1718503776
• ISBN 13: 9781718503779
• Author: Sebastian

Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If you’re ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about. Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises.

Table of contents:

PART I: NEURAL NETWORKS AND DEEP LEARNING

1. EMBEDDINGS, LATENT SPACE, AND REPRESENTATIONS

2. SELF-SUPERVISED LEARNING

3. FEW-SHOT LEARNING

4. THE LOTTERY TICKET HYPOTHESIS

5. REDUCING OVERFITTING WITH DATA

6. REDUCING OVERFITTING WITH MODEL MODIFICATIONS

7. MULTI-GPU TRAINING PARADIGMS

8. THE SUCCESS OF TRANSFORMERS

9. GENERATIVE AI MODELS

10. SOURCES OF RANDOMNESS

PART II: COMPUTER VISION

11. CALCULATING THE NUMBER OF PARAMETERS

12. FULLY CONNECTED AND CONVOLUTIONAL LAYERS

13. LARGE TRAINING SETS FOR VISION TRANSFORMERS

PART III: NATURAL LANGUAGE PROCESSING

14. THE DISTRIBUTIONAL HYPOTHESIS

15. DATA AUGMENTATION FOR TEXT

16. SELF-ATTENTION

17. ENCODER- AND DECODER-STYLE TRANSFORMERS

18. USING AND FINE-TUNING PRETRAINED TRANSFORMERS

19. EVALUATING GENERATIVE LARGE LANGUAGE MODELS

PART IV: PRODUCTION AND DEPLOYMENT

20. STATELESS AND STATEFUL TRAINING

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