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Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners is a coding and machine learning bootcamp in textbook form. You will get hands-on experience with the Python programming language, essential math concepts, neural nets - and, by the end, you will have coded and trained a pocket-sized language model. A high school math background is all you need to get started; no prior programming experience is required. Put in the work, and soon you will know, in concrete detail, how to create a miniature mind inside a chunk of silicon using code. If that is not magic, what is? "A comprehensive and engaging guide, taking the reader from programming basics all the way to large language models. It manages to be both rigorous and enjoyable." - Khaled Boughanmi, Cornell University
"This book stands out in clarity and effectiveness as a practical, accessible introduction to the world of AI." - Yu Ding, Stanford University
"A great springboard into machine learning, AI, and their essential foundations - Python, matrix algebra, and statistics. Beautifully written and accessible to anyone with a basic high school math background. I've already recommended it to my students." - Kamel Jedidi, Columbia University
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Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners is a coding and machine learning bootcamp in textbook form. You will get hands-on experience with the Python programming language, essential math concepts, neural nets - and, by the end, you will have coded and trained a pocket-sized language model. A high school math background is all you need to get started; no prior programming experience is required. Put in the work, and soon you will know, in concrete detail, how to create a miniature mind inside a chunk of silicon using code. If that is not magic, what is? "A comprehensive and engaging guide, taking the reader from programming basics all the way to large language models. It manages to be both rigorous and enjoyable." - Khaled Boughanmi, Cornell University
"This book stands out in clarity and effectiveness as a practical, accessible introduction to the world of AI." - Yu Ding, Stanford University
"A great springboard into machine learning, AI, and their essential foundations - Python, matrix algebra, and statistics. Beautifully written and accessible to anyone with a basic high school math background. I've already recommended it to my students." - Kamel Jedidi, Columbia University