Machine Learning Q and AI Book Reviews
Machine Learning Q and AI by Sebastian Raschka Book Summary
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 modificationsHandle common sources of randomness when training deep neural networks Speed up model inference through optimization without changing the model architecture or sacrificing accuracyPractically apply the lottery ticket hypothesis and the distributional hypothesis Use and finetune pretrained large language modelsSet 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.
Book Name | Machine Learning Q and AI |
Genre | Computers & Internet |
Author | Sebastian Raschka |
Published | 16 April 2024, Tuesday |
Language | English |
E-Book Size | 350 KB |
Machine Learning Q and AI (Sebastian Raschka) Book Reviews 2024
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Download Link | Book Format |
machine-learning-q-and-ai-ebook.pdf | |
machine-learning-q-and-ai-ebook.epub | EPUB |
machine-learning-q-and-ai-ebook.kindle | KINDLE |
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Summary of Machine Learning Q and AI by Sebastian Raschka
The Machine Learning Q and AI book written by Sebastian Raschka was published on 16 April 2024, Tuesday in the Computers & Internet category. A total of 56 readers of the book gave the book 0 points out of 5.
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