{"product_id":"machine-learning-q-and-ai","title":"Machine Learning Q and AI","description":"\u003cb\u003eLearn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eIf you're ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of \u003ci\u003eMachine Learning Q and AI\u003c\/i\u003e will make things fast and easy for you, without a lot of mucking about. \u003cp\u003e\u003c\/p\u003eBorn 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. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWHAT'S INSIDE: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eFOCUSED CHAPTERS: \u003c\/b\u003e Key questions in AI are answered concisely, and complex ideas are broken down into easily digestible parts. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWIDE RANGE OF TOPICS: \u003c\/b\u003e Raschka covers topics ranging from neural network architectures and model evaluation to computer vision and natural language processing. \u003cp\u003e\u003c\/p\u003e\u003cb\u003ePRACTICAL APPLICATIONS: \u003c\/b\u003e Learn techniques for enhancing model performance, fine-tuning large models, and more. \u003cp\u003e\u003c\/p\u003eYou'll also explore how to: \u003cbr\u003e- Manage the various sources of randomness in neural network training\u003cbr\u003e- Differentiate between encoder and decoder architectures in large language models\u003cbr\u003e- Reduce overfitting through data and model modifications\u003cbr\u003e- Construct confidence intervals for classifiers and optimize models with limited labeled data\u003cbr\u003e- Choose between different multi-GPU training paradigms and different types of generative AI models\u003cbr\u003e- Understand performance metrics for natural language processing\u003cbr\u003e- Make sense of the inductive biases in vision transformers \u003cp\u003e\u003c\/p\u003eIf you've been on the hunt for the perfect resource to elevate your understanding of machine learning, \u003ci\u003eMachine Learning Q and AI\u003c\/i\u003e will make it easy for you to painlessly advance your knowledge beyond the basics.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":45787245510703,"sku":"9781718503762","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/2855\/6847\/files\/imageloader_54593df5-7a5a-4831-8b21-c3ae8b6ed7de.jpg?v=1786148123","url":"https:\/\/tssbooks.com\/products\/machine-learning-q-and-ai","provider":"tssbooks","version":"1.0","type":"link"}