Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI by Sebastian Raschka
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Sebastian Raschka
Page: 264
Format: pdf, ePub, mobi, fb2
ISBN: 9781718503762
Publisher: No Starch Press
Download Book ➡ Link
Read Book Online ➡ Link
Download free books for itunes Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI (English Edition) 9781718503762
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. 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’ll 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 transformers If you’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.
Machine Learning Q and AI: 30 Essential Questions
Description. Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.
Machine Learning Q and AI: 30 Essential Questions
Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises.
Machine Learning Q and AI: 30 Essential Questions and
This rapid-fire series of short chapters addresses 30 essential questions in the field, helping you stay current on the latest technologies you can implement in
Machine Learning Q and AI - Sebastian Raschka, PhD
Dec 10, 2023 —
Machine Learning Q and AI book
This rapid-fire series of short chapters addresses 30 essential questions in the field, helping you stay current on the latest technologies you can implement in
Machine Learning Q and AI: 30 Essential Questions
Description. Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.
Other ebooks: A Student's Guide to the Navier-Stokes Equations by Justin W. Garvin on Audiobook New download pdf, [PDF EPUB] Download Summer on Highland Beach: A Novel by Sunny Hostin Full Book link, PDF [DOWNLOAD] Kase-san and Yamada Vol. 3 by Hiromi Takashima on Iphone site,
留言列表