Title
Why Machines Learn: The Elegant Math Behind Modern Ai
Delivery time: 8-12 business days (International)
A Rich, Narrative Explanation Of The Mathematics That Has Brought Us Machine Learning And The Ongoing Explosion Of Artificial Intelligencemachine Learning Systems Are Making Lifealtering Decisions For Us: Approving Mortgage Loans, Determining Whether A Tumour Is Cancerous, Or Deciding Whether Someone Gets Bail. They Now Influence Developments And Discoveries In Chemistry, Biology, And Physicsthe Study Of Genomes, Extrasolar Planets, Even The Intricacies Of Quantum Systems. And All This Before Large Language Models Such As Chatgpt Came On The Scene.We Are Living Through A Revolution In Machine Learningpowered Ai That Shows No Signs Of Slowing Down. This Technology Is Based On Relatively Simple Mathematical Ideas, Some Of Which Go Back Centuries, Including Linear Algebra And Calculus, The Stuff Of Seventeenth And Eighteenthcentury Mathematics. It Took The Birth And Advancement Of Computer Science And The Kindling Of 1990S Computer Chips Designed For Video Games To Ignite The Explosion Of Ai That We See Today. In This Enlightening Book, Anil Ananthaswamy Explains The Fundamental Math Behind Machine Learning, While Suggesting Intriguing Links Between Artifical And Natural Intelligence. Might The Same Math Underpin Them Both?As Ananthaswamy Resonantly Concludes, To Make Safe And Effective Use Of Artificial Intelligence, We Need To Understand Its Profound Capabilities And Limitations, The Clues To Which Lie In The Math That Makes Machine Learning Possible.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Why Machines Learn'? A: 'Why Machines Learn' primarily focuses on explaining the mathematical principles that underlie modern machine learning and artificial intelligence, making complex concepts accessible to readers.
- Q: Who is the author of the book? A: The book is authored by Anil Ananthaswamy, who provides insights into the mathematics of machine learning.
- Q: When was 'Why Machines Learn' published? A: 'Why Machines Learn' is set to be published on July 16, 2024.
- Q: What type of binding does the book have? A: The book is available in hardcover binding, which offers durability and a premium feel.
- Q: How many pages does the book have? A: 'Why Machines Learn' contains a total of 480 pages, providing an in-depth exploration of its subject matter.
- Q: Is this book suitable for beginners in AI? A: Yes, this book aims to make complex mathematical concepts clear and is suitable for readers who are new to artificial intelligence and machine learning.
- Q: Does the book discuss the limitations of AI? A: Yes, Anil Ananthaswamy discusses the limitations and capabilities of artificial intelligence, emphasizing the importance of understanding these aspects.
- Q: What mathematical concepts are covered in the book? A: The book covers fundamental mathematical concepts such as linear algebra and calculus, which are essential to understanding machine learning.
- Q: Is there any prior knowledge required to understand the book? A: While some familiarity with basic mathematical concepts may be helpful, the book is designed to be accessible to a wide audience.
- Q: What is the primary audience for this book? A: The primary audience includes students, professionals, and anyone interested in understanding the mathematics that drive modern AI and machine learning.