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

Description: Machine Learning Q and AI by Sebastian Raschka Estimated delivery 3-12 business days Format Paperback Condition Brand New Description "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"-- 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. Details ISBN 1718503768 ISBN-13 9781718503762 Title Machine Learning Q and AI Author Sebastian Raschka Format Paperback Year 2024 Pages 232 Publisher No Starch Press,US GE_Item_ID:160004036; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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End Time: 2024-11-21T04:45:30.000Z

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