No Starch Press, Fachbücher, Machine Learning and AI Beyond the Basics (Englisch, Sebastian Raschka, 2024)

Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If you&rsquo 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. WHAT'S INSIDE: FOCUSED CHAPTERS: Key questions in AI are answered concisely, and complex ideas are broken down into easily digestible parts. WIDE RANGE OF TOPICS: Raschka covers topics ranging from neural network architectures and model evaluation to computer vision and natural language processing. PRACTICAL APPLICATIONS: Learn techniques for enhancing model performance, fine-tuning large models, and more. You&rsquo ll also explore how to: &bull Manage the various sources of randomness in neural network training &bull Differentiate between encoder and decoder architectures in large language models &bull Reduce overfitting through data and model modifications &bull Construct confidence intervals for classifiers and optimize models with limited labeled data &bull Choose between different multi-GPU training paradigms and different types of generative AI models &bull Understand performance metrics for natural language processing &bull Make sense of the inductive biases in vision transformers If you&rsquo ve been on the hunt for the perfect resource to elevate your understanding of machine learning, Machine Learning Q and AI will make it easy for you to painlessly advance your knowledge beyond the basics.