Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learnin

Description: FREE SHIPPING UK WIDE Machine Learning Q and AI by Sebastian Raschka "An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deployment; and predictive performance and model evaluation"-- FORMAT Paperback CONDITION Brand New Publisher Description If youre 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.WHATS 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.Youll also explore how to-. Manage the various sources of randomness in neural network training. Differentiate between encoder and decoder architectures in large language models. Reduce overfitting through data and model modifications. Construct confidence intervals for classifiers and optimize models with limited labeled data. Choose between different multi-GPU training paradigms and different types of generative AI models. Understand performance metrics for natural language processing. Make sense of the inductive biases in vision transformersIf youve 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.Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.If youre 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.WHATS 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.Youll also explore how to-. Manage the various sources of randomness in neural network training. Differentiate between encoder and decoder architectures in large language models. Reduce overfitting through data and model modifications. Construct confidence intervals for classifiers and optimize models with limited labeled data. Choose between different multi-GPU training paradigms and different types of generative AI models. Understand performance metrics for natural language processing. Make sense of the inductive biases in vision transformersIf youve 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. Author Biography Sebastian Raschka, PhD, is a machine learning and AI researcher with a passion for education. As Lead AI Educator at Lightning AI, he is excited about making AI and deep learning more accessible. Raschka previously was Assistant Professor of Statistics at the University of Wisconsin-Madison, where he specialized in researching deep learning and machine learning, and is the author of the bestselling books Python Machine Learning and Machine Learning with PyTorch and Scikit-Learn. You can find out more about his research on his website at https-//sebastianraschka.com. Review "Sebastian has a gift for distilling complex, AI-related topics into practical takeaways that can be understood by anyone. His new book, Machine Learning and AI Beyond the Basics, is another great resource for AI practitioners of any level."–Cameron R. Wolfe, Writer of Deep (Learning) Focus"Sebastian uniquely combines academic depth, engineering agility, and the ability to demystify complex ideas. He can go deep into any theoretical topics, experiment to validate new ideas, then explain them all to you in simple words. If youre starting your journey into machine learning, Sebastian is your guide."–Chip Huyen, Author of Designing Machine Learning Systems"Sebastian Raschkas new book, Machine Learning Q and AI, is a one-stop shop for overviews of crucial AI topics beyond the core covered in most introductory courses...If you have already stepped into the world of AI via deep neural networks, then this book will give you what you need to locate and understand the next level."–Ronald T. Kneusel, author of How AI Works Details ISBN1718503768 Author Sebastian Raschka Pages 232 Publisher No Starch Press,US Year 2024 ISBN-13 9781718503762 Format Paperback Publication Date 2024-04-16 Imprint No Starch Press,US Place of Publication San Francisco Country of Publication United States Audience General US Release Date 2024-04-16 DEWEY 006.3 Subtitle 30 Essential Questions and Answers on Machine Learning and AI ISBN-10 1718503768 UK Release Date 2024-04-16 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:160004036;

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