Machine Learning Q and AI - 30 Essential Questions and Answers on Machine Learning and AI

Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If you’ve locked down the basics of machine learning and AI and want a fun way to address lingering knowledge gaps, this book is for you. 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 your own work. Each chapter of You’ll also learn to distinguish between self-attention and regular attention; name the most common data augmentation techniques for text data; use various self-supervised learning techniques, multi-GPU training paradigms, and types of generative AI; and much more.; Whether you’re a machine learning beginner or an experienced practitioner, add new techniques to your arsenal and keep abreast of exciting developments in a rapidly changing field....

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. You can find out more about his research on his website at https://sebastianraschka.com.

Product details

• Authors: Sebastian Raschka, Raschka Sebastian
• Publisher: No Starch Press
• Languages: English
• Product format: Paperback / Softback
• Released: 16.04.2024
• EAN: 9781718503762
• ISBN: 978-1-71850-376-2
• No. of pages: 264
• Dimensions: 179 mm x 235 mm x 15 mm
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; machine learning, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / General, Computer programming / software engineering, COMPUTERS / Data Science / Machine Learning, Computer Programming / Software Development