Buy New
-
To see product details, add this item to your cart.
Ships from: Amazon.com Sold by: Amazon.com
Used - Good
-
To see product details, add this item to your cart.
Ships from: bellwetherbooks Sold by: bellwetherbooks
Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.
Read instantly on your browser with Kindle for Web.
Using your mobile phone camera - scan the code below and download the Kindle app.
Follow the author
OK
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Purchase options and add-ons
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.
- ISBN-101718503768
- ISBN-13978-1718503762
- PublisherNo Starch Press
- Publication dateApril 16, 2024
- LanguageEnglish
- Dimensions7.06 x 0.58 x 9.25 inches
- Print length264 pages
Frequently bought together

Customers who viewed this item also viewed
- Build a Large Language Model (From Scratch)PaperbackFREE Shipping by AmazonGet it as soon as Sunday, Sep 20
- Build a Reasoning Model (From Scratch)PaperbackFREE Shipping by AmazonGet it as soon as Sunday, Sep 20
- How AI Works: From Sorcery to SciencePaperbackFREE Shipping on orders over $35 shipped by AmazonGet it as soon as Sunday, Sep 20
- AI Engineering: Building Applications with Foundation ModelsPaperbackFREE Shipping by AmazonGet it as soon as Sunday, Sep 20
- Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to ProgrammingPaperbackFREE Shipping on orders over $35 shipped by AmazonGet it as soon as Sunday, Sep 20
Customers also bought or read
- Build a Large Language Model (From Scratch)#1 Best SellerComputer Neural Networks
Paperback$49.24$49.24FREE delivery Sun, Sep 20 - Build a Reasoning Model (From Scratch)#1 Best SellerProgramming Algorithms
Paperback$47.82$47.82FREE delivery Sun, Sep 20 - Hands-On Large Language Models: Language Understanding and Generation
Paperback$37.68$37.68FREE delivery Mon, Sep 21 - AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch
Paperback$87.70$87.70FREE delivery Mon, Sep 21 - Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python#1 Best SellerSpeech & Audio Processing
Paperback$36.05$36.05FREE delivery Sun, Sep 20 - Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Paperback$77.72$77.72FREE delivery Mon, Sep 21 - Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Paperback$40.00$40.00FREE delivery Sun, Sep 20 - The Hundred-Page Language Models Book: hands-on with PyTorch (The Hundred-Page Books)
Paperback$46.95$46.95FREE delivery Mon, Sep 21 - Math for Deep Learning: What You Need to Know to Understand Neural Networks
Paperback$35.48$35.48FREE delivery Sun, Sep 20 - The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
Paperback$34.86$34.86$3.99 delivery Sep 28 - Oct 2 - AI Engineering: Building Applications with Foundation Models#1 Best SellerEnterprise Applications
Paperback$52.40$52.40FREE delivery Sun, Sep 20 - LLM Engineer's Handbook: Master the art of engineering large language models from concept to production
Paperback$39.99$39.99FREE delivery Mon, Sep 21 - The StatQuest Illustrated Guide to Neural Networks and AI: With hands-on examples in PyTorch!!!
Paperback$29.89$29.89Delivery Mon, Sep 21 - Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Paperback$29.55$29.55Delivery Mon, Sep 21 - Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning
Paperback$44.30$44.30FREE delivery Mon, Sep 21 - Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
Paperback$32.75$32.75Delivery Mon, Sep 21 - Why Machines Learn: The Elegant Math Behind Modern AI#1 Best SellerDiscrete Mathematics
Hardcover$18.13$18.13Delivery Sun, Sep 20 - Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
Paperback$34.58$34.58Delivery Mon, Sep 21 - Data Structures the Fun Way: An Amusing Adventure with Coffee-Filled Examples
Paperback$36.11$36.11FREE delivery Sep 20 - 23 - Alice’s Adventures in a differentiable wonderland: A primer on designing neural networks (Volume I)
Paperback$23.00$23.00Delivery Mon, Sep 21 - The Hundred-Page Machine Learning Book (The Hundred-Page Books)
Paperback$26.14$26.14Delivery Mon, Sep 21 - Object-Oriented Python: Master OOP by Building Games and GUIs
Paperback$26.48$26.48Delivery Sun, Sep 20 - 50 ML Projects To Understand LLMs: Investigate transformer mechanisms through data analysis, visualization, and experimentation
Paperback$44.99$44.99FREE delivery Mon, Sep 21 - Practical Deep Learning, 2nd Edition: A Python-Based Introduction
Paperback$47.47$47.47FREE delivery Sun, Sep 20
From the Publisher
About the Author
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.
About the Publisher
No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works, and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.
Editorial Reviews
Review
–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 you’re starting your journey into machine learning, Sebastian is your guide.”
–Chip Huyen, Author of Designing Machine Learning Systems
“Sebastian Raschka's 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
About the Author
Product details
- Publisher : No Starch Press
- Publication date : April 16, 2024
- Language : English
- Print length : 264 pages
- ISBN-10 : 1718503768
- ISBN-13 : 978-1718503762
- Item Weight : 1.1 pounds
- Dimensions : 7.06 x 0.58 x 9.25 inches
- Best Sellers Rank: #790,878 in Books (See Top 100 in Books)
- #312 in Natural Language Processing (Books)
- #742 in Statistics (Books)
- #779 in Probability & Statistics (Books)
- Customer Reviews:
About the author

Sebastian Raschka, PhD is an LLM Research Engineer with over a decade of experience in artificial intelligence. His work bridges academia and industry, including roles as senior engineering staff at an AI company and a statistics professor.
As an independent researcher and industry expert, Sebastian collaborates with companies on AI solutions and serves on the Open Source Advisory Board at University of Wisconsin–Madison.
Sebastian specializes in LLMs and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations.















