Why Machines Learn
The Elegant Maths Behind Modern AI
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Why Machines Learn
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Narrated by:
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Rene Ruiz
About this listen
Brought to you by Penguin.
Machine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems.
We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.
As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Anil Ananthaswamy (P)2024 Penguin AudioListeners also enjoyed...
What listeners say about Why Machines Learn
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- 03-02-25
A must have for anyone without a maths background
In a world increasingly captivated by the potential and mysteries of Artificial Intelligence, Anil Ananthaswamy's "Why Machines Learn" emerges as a true gem. This book arrives at a pivotal moment, when interest in AI is skyrocketing, yet the field's complexities often remain shrouded in technical jargon and advanced mathematical concepts. Ananthaswamy, with his remarkable talent for elucidating intricate scientific topics, provides a much-needed bridge, making the fascinating realm of machine learning accessible to a broader audience.
What sets "Why Machines Learn" apart is its commitment to demystifying the mathematical foundations that underpin AI. Ananthaswamy masterfully guides readers through the core concepts, assuming little to no prior mathematical expertise. The journey is one of discovery, starting from the ground up and gradually revealing the intricate logic behind machine learning algorithms. Regardless of your experience in the field, you will find yourself gaining new insights and a deeper appreciation for the beauty and power of AI.
For those who prefer audiobooks, "Why Machines Learn" is a rewarding, albeit active, listening experience. The frequent references to the accompanying PDF require attentive engagement, making this more of a "sit and absorb" experience than a casual listen. However, the investment is well worth it.
As someone embarking on a PhD journey in AI and Machine Learning, albeit from a non-traditional background with dyslexia, I found this book to be an absolute game-changer. Ananthaswamy's clear explanations and accessible approach not only solidified my understanding but also further ignited my passion for the field. "Why Machines Learn" is more than just a book; it's an empowering tool that equips readers with the knowledge to navigate the AI landscape with confidence.
Ananthaswamy's timing couldn't be more perfect. His background in making complex subjects understandable shines through, making "Why Machines Learn" an essential read for anyone eager to grasp the inner workings of AI. This book is a testament to the power of clear communication and a valuable contribution to the growing body of literature on artificial intelligence.
Highly recommended.
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