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

4.71 ( 455 Ratings by Goodreads)
Machine Learning Q and AI
Look Inside

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

(Author)
4.71 (455 Ratings by Goodreads)
paperback
Published: 16 April, 2024
Standard worldwide delivery by Tue, June 23 - Fri, June 26
Order within 0
Condition: NEW
$44.77
RRP $64.45
You save $19.67 (31%)
Price includes shipping
Available 6 in stock
- +
Add to basket Wishlist This
FREE Returns within 30 days
More Details

Popular Books by Sebastian Raschka

View All Books by Sebastian Raschka
Build a Large Language Model (From Scratch)
Build a Large Language Model (From Scratch)
Sebastian Raschka
$47.45 $61.76
New
Add to basket
Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn
Sebastian Raschka
$58.90
New
Add to basket
Python Machine Learning
Python Machine Learning
Sebastian Raschka
$69.43
New
Add to basket
Python Machine Learning -
Python Machine Learning -
Sebastian Raschka
$57.61
New
Add to basket
Python Machine Learning
Python Machine Learning
Sebastian Raschka
$55.17
New
Add to basket
Python: Deeper Insights into Machine Learning
Python: Deeper Insights into Machine Learning
Sebastian Raschka
$103.73
New
Add to basket
Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn: Das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics
Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn: Das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics
Sebastian Raschka
$28.15 $52.75
New
Add to basket

Description

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 Machine Learning and AI Beyond the Basics asks and answers a central question, with diagrams to explain new concepts and ample references for further reading. This practical, cutting-edge information is missing from most introductory coursework, but critical for real-world applications, research, and acing technical interviews. You won't need to solve proofs or run code, so this book is a perfect travel companion. You'll learn a wide range of new concepts in deep neural network architectures, computer vision, natural language processing, production and deployment, and model evaluation, including how to: Reduce overfitting with altered data or model modifications; Handle common sources of randomness when training deep neural networks; Speed up model inference through optimization without changing the model architecture or sacrificing accuracy; Practically apply the lottery ticket hypothesis and the distributional hypothesis; Use and finetune pretrained large language models; Set up k-fold cross-validation at the appropriate time. 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.
See more

More Details

Type Book
ISBN13 9781718503762
ISBN10 1718503768
Number Of Pages 264
Item Weight 1000 g
Publisher / Reseller No Starch Press,US
Format paperback
See More +

Media Reviews

“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 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

Show more

Author's Bio

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.

Show more