**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 ad...

**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* 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.