第 1/1 張圖片
圖片庫
第 1/1 張圖片
有類似物品要出售？
Why Machines Learn: The Elegant Math Behind Modern AI by Ananthaswamy, Anil
Booksxpress
（11539）
US $25.86
大約HK$ 201.26
狀況：
最後 1 件賣出 1 件
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
運送：
免費 Economy Shipping.
所在地：Glendale Heights, Illinois, 美國
送達日期：
估計於 12月13日 (星期六)至 12月24日 (星期三)之間送達 運送地點 94104
退貨：
30 日退貨. 由買家支付退貨運費，如果你使用 eBay 郵寄標籤，相關費用將從你的退款金額中扣除.
保障：
請參閱物品說明或聯絡賣家以取得詳細資料。閱覽全部詳情查看保障詳情
（不符合「eBay 買家保障方案」資格）
關於物品
物品細節
- 物品狀況
- 全新: 全新，未閱讀過和使用過的書籍，狀況完好，不存在缺頁或內頁受損。 查看所有物品狀況定義會在新視窗或分頁中開啟
- ISBN
- 9780593185742
關於產品
Product Identifiers
Publisher
Penguin Publishing Group
ISBN-10
0593185749
ISBN-13
9780593185742
eBay Product ID (ePID)
7062277929
Product Key Features
Number of Pages
480 Pages
Language
English
Publication Name
Why Machines Learn : the Elegant Math Behind Modern Ai
Subject
Computer Science, General, Computer Vision & Pattern Recognition, Discrete Mathematics
Publication Year
2024
Type
Textbook
Subject Area
Mathematics, Computers, Science
Format
Hardcover
Dimensions
Item Height
1.5 in
Item Weight
23.8 Oz
Item Length
9.3 in
Item Width
6.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2024-000738
Reviews
A Next Big Idea Club Must-Read Title for July " Why Machines Learn , by the award-winning science writer Anil Ananthaswamy, takes the reader on an entertaining journey into the mind of a machine... [The book] demystifies the underlying mechanisms behind machine learning, which may possibly lead to a better understanding of the learning process itself and the development of improved AI." -- Physics World "A skillful primer make sense of the mathematics beneath AI''s hood." -- New Scientist "Some books about the development of neural networks describe the underlying mathematics while others describe the social history. This book presents the mathematics in the context of the social history. It is a masterpiece. The author is very good at explaining the mathematics in a way that makes it available to people with only a rudimentary knowledge of the field, but he is also a very good writer who brings the social history to life." -- Geoffrey Hinton, deep learning pioneer, Turing Award winner, former VP at Google, and Professor Emeritus at University of Toronto "After just a few minutes of reading Why Machines Learn , you''ll feel your own synaptic weights getting updated. By the end you will have achieved your own version of deep learning--with deep pleasure and insight along the way." -- Steven Strogatz, New York Times bestselling author of Infinite Powers and professor of mathematics at Cornell University "If you were looking for a way to make sense of the AI revolution that is well underway, look no further. With this comprehensive yet engaging book, Anil Ananthaswamy puts it all into context, from the origin of the idea and its governing equations to its potential to transform medicine, quantum physics--and virtually every aspect of our life. An essential read for understanding both the possibilities and limitations of artificial intelligence." -- Sabine Hossenfelder, physicist and New York Times bestselling author of Existential Physics: A Scientist''s Guide to Life''s Biggest Questions " Why Machines Learn is a masterful work that explains--in clear, accessible, and entertaining fashion--the mathematics underlying modern machine learning, along with the colorful history of the field and its pioneering researchers. As AI has increasingly profound impacts in our world, this book will be an invaluable companion for anyone who wants a deep understanding of what''s under the hood of these often inscrutable machines." -- Melanie Mitchell, author of Artificial Intelligence and Professor at the Santa Fe Institute "Generative AI, with its foundations in machine learning, is as fundamental an advance as the creation of the microprocessor, the Internet, and the mobile phone. But almost no one, outside of a handful of specialists, understands how it works. Anil Ananthaswamy has removed the mystery by giving us a gentle, intuitive, and human-oriented introduction to the math that underpins this revolutionary development." -- Peter E. Hart, AI pioneer, entrepreneur, and co-author of Pattern Classification "Anil Ananthaswamy''s Why Machines Learn embarks on an exhilarating journey through the origins of contemporary machine learning. With a captivating narrative, the book delves into the lives of influential figures driving the AI revolution while simultaneously exploring the intricate mathematical formalism that underpins it. As Anil traces the roots and unravels the mysteries of modern AI, he gently introduces the underlying mathematics, rendering the complex subject matter accessible and exciting for readers of all backgrounds." -- Björn Ommer, Professor at the Ludwig Maximilian University of Munich and leader of the original team behind Stable Diffusion "An inspiring introduction to the mathematics of AI." -- Arthur I. Miller, author of The Artist in the Machine: The World of AI-Powered Creativity "[An] illuminating overview of how machine learning works." -- Kirkus Reviews, "Some books about the development of neural networks describe the underlying mathematics while others describe the social history. This book presents the mathematics in the context of the social history. It is a masterpiece. The author is very good at explaining the mathematics in a way that makes it available to people with only a rudimentary knowledge of the field, but he is also a very good writer who brings the social history to life." -- Geoffrey Hinton, deep learning pioneer, Turing Award winner, former VP at Google, and Professor Emeritus at University of Toronto "After just a few minutes of reading Why Machines Learn , you'll feel your own synaptic weights getting updated. By the end you will have achieved your own version of deep learning--with deep pleasure and insight along the way." -- Steven Strogatz, New York Times bestselling author of Infinite Powers and professor of mathematics at Cornell University "If you were looking for a way to make sense of the AI revolution that is well underway, look no further. With this comprehensive yet engaging book, Anil Ananthaswamy puts it all into context, from the origin of the idea and its governing equations to its potential to transform medicine, quantum physics--and virtually every aspect of our life. An essential read for understanding both the possibilities and limitations of artificial intelligence." -- Sabine Hossenfelder, physicist and New York Times bestselling author of Existential Physics: A Scientist's Guide to Life's Biggest Questions " Why Machines Learn is a masterful work that explains--in clear, accessible, and entertaining fashion--the mathematics underlying modern machine learning, along with the colorful history of the field and its pioneering researchers. As AI has increasingly profound impacts in our world, this book will be an invaluable companion for anyone who wants a deep understanding of what's under the hood of these often inscrutable machines." -- Melanie Mitchell, author of Artificial Intelligence and Professor at the Santa Fe Institute "Generative AI, with its foundations in machine learning, is as fundamental an advance as the creation of the microprocessor, the Internet, and the mobile phone. But almost no one, outside of a handful of specialists, understands how it works. Anil Ananthaswamy has removed the mystery by giving us a gentle, intuitive, and human-oriented introduction to the math that underpins this revolutionary development." -- Peter E. Hart, AI pioneer, entrepreneur, and co-author of Pattern Classification "Anil Ananthaswamy's Why Machines Learn embarks on an exhilarating journey through the origins of contemporary machine learning. With a captivating narrative, the book delves into the lives of influential figures driving the AI revolution while simultaneously exploring the intricate mathematical formalism that underpins it. As Anil traces the roots and unravels the mysteries of modern AI, he gently introduces the underlying mathematics, rendering the complex subject matter accessible and exciting for readers of all backgrounds." -- Björn Ommer, Professor at the Ludwig Maximilian University of Munich and leader of the original team behind Stable Diffusion "[An] illuminating overview of how machine learning works." -- Kirkus Reviews, "Some books about the development of neural networks describe the underlying mathematics while others describe the social history. This book presents the mathematics in the context of the social history. It is a masterpiece. The author is very good at explaining the mathematics in a way that makes it available to people with only a rudimentary knowledge of the field, but he is also a very good writer who brings the social history to life." -- Geoffrey Hinton, deep learning pioneer, Turing Award winner, former VP at Google, and Professor Emeritus at University of Toronto "After just a few minutes of reading Why Machines Learn , you'll feel your own synaptic weights getting updated. By the end you will have achieved your own version of deep learning--with deep pleasure and insight along the way." -- Steven Strogatz, New York Times bestselling author of Infinite Powers and professor of mathematics at Cornell University "If you were looking for a way to make sense of the AI revolution that is well underway, look no further. With this comprehensive yet engaging book, Anil Ananthaswamy puts it all into context, from the origin of the idea and its governing equations to its potential to transform medicine, quantum physics--and virtually every aspect of our life. An essential read for understanding both the possibilities and limitations of artificial intelligence." -- Sabine Hossenfelder, physicist and New York Times bestselling author of Existential Physics: A Scientist's Guide to Life's Biggest Questions " Why Machines Learn is a masterful work that explains--in clear, accessible, and entertaining fashion--the mathematics underlying modern machine learning, along with the colorful history of the field and its pioneering researchers. As AI has increasingly profound impacts in our world, this book will be an invaluable companion for anyone who wants a deep understanding of what's under the hood of these often inscrutable machines." -- Melanie Mitchell, author of Artificial Intelligence and Professor at the Santa Fe Institute "Generative AI, with its foundations in machine learning, is as fundamental an advance as the creation of the microprocessor, the Internet, and the mobile phone. But almost no one, outside of a handful of specialists, understands how it works. Anil Ananthaswamy has removed the mystery by giving us a gentle, intuitive, and human-oriented introduction to the math that underpins this revolutionary development." -- Peter E. Hart, AI pioneer, entrepreneur, and co-author of Pattern Classification "Anil Ananthaswamy's Why Machines Learn embarks on an exhilarating journey through the origins of contemporary machine learning. With a captivating narrative, the book delves into the lives of influential figures driving the AI revolution while simultaneously exploring the intricate mathematical formalism that underpins it. As Anil traces the roots and unravels the mysteries of modern AI, he gently introduces the underlying mathematics, rendering the complex subject matter accessible and exciting for readers of all backgrounds." -- Björn Ommer, Professor at the Ludwig Maximilian University of Munich and leader of the original team behind Stable Diffusion "An inspiring introduction to the mathematics of AI." -- Arthur I. Miller, author of The Artist in the Machine: The World of AI-Powered Creativity "[An] illuminating overview of how machine learning works." -- Kirkus Reviews, "If you were looking for a way to make sense of the AI revolution that is well underway, look no further. With this comprehensive yet engaging book, Anil Ananthaswamy puts it all into context, from the origin of the idea and its governing equations to its potential to transform medicine, quantum physics--and virtually every aspect of our life. An essential read for understanding both the possibilities and limitations of artificial intelligence." -- Sabine Hossenfelder, physicist and New York Times bestselling author of Existential Physics: A Scientist's Guide to Life's Biggest Questions " Why Machines Learn is a masterful work that explains--in clear, accessible, and entertaining fashion--the mathematics underlying modern machine learning, along with the colorful history of the field and its pioneering researchers. As AI has increasingly profound impacts in our world, this book will be an invaluable companion for anyone who wants a deep understanding of what's under the hood of these often inscrutable machines." -- Melanie Mitchell, author of Artificial Intelligence and Professor at the Santa Fe Institute "Generative AI, with its foundations in machine learning, is as fundamental an advance as the creation of the microprocessor, the Internet, and the mobile phone. But almost no one, outside of a handful of specialists, understands how it works. Anil Ananthaswamy has removed the mystery by giving us a gentle, intuitive, and human-oriented introduction to the math that underpins this revolutionary development." -- Peter E. Hart, AI pioneer, entrepreneur, and co-author of Pattern Classification, "Some books about the development of neural networks describe the underlying mathematics while others describe the social history. This book presents the mathematics in the context of the social history. It is a masterpiece. The author is very good at explaining the mathematics in a way that makes it available to people with only a rudimentary knowledge of the field, but he is also a very good writer who brings the social history to life." -- Geoffrey Hinton, deep learning pioneer, Turing Award winner, former VP at Google, and Professor Emeritus at University of Toronto "After just a few minutes of reading Why Machines Learn , you'll feel your own synaptic weights getting updated. By the end you will have achieved your own version of deep learning--with deep pleasure and insight along the way." -- Steven Strogatz, New York Times bestselling author of Infinite Powers and professor of mathematics at Cornell University "If you were looking for a way to make sense of the AI revolution that is well underway, look no further. With this comprehensive yet engaging book, Anil Ananthaswamy puts it all into context, from the origin of the idea and its governing equations to its potential to transform medicine, quantum physics--and virtually every aspect of our life. An essential read for understanding both the possibilities and limitations of artificial intelligence." -- Sabine Hossenfelder, physicist and New York Times bestselling author of Existential Physics: A Scientist's Guide to Life's Biggest Questions " Why Machines Learn is a masterful work that explains--in clear, accessible, and entertaining fashion--the mathematics underlying modern machine learning, along with the colorful history of the field and its pioneering researchers. As AI has increasingly profound impacts in our world, this book will be an invaluable companion for anyone who wants a deep understanding of what's under the hood of these often inscrutable machines." -- Melanie Mitchell, author of Artificial Intelligence and Professor at the Santa Fe Institute "Generative AI, with its foundations in machine learning, is as fundamental an advance as the creation of the microprocessor, the Internet, and the mobile phone. But almost no one, outside of a handful of specialists, understands how it works. Anil Ananthaswamy has removed the mystery by giving us a gentle, intuitive, and human-oriented introduction to the math that underpins this revolutionary development." -- Peter E. Hart, AI pioneer, entrepreneur, and co-author of Pattern Classification "Anil Ananthaswamy's Why Machines Learn embarks on an exhilarating journey through the origins of contemporary machine learning. With a captivating narrative, the book delves into the lives of influential figures driving the AI revolution while simultaneously exploring the intricate mathematical formalism that underpins it. As Anil traces the roots and unravels the mysteries of modern AI, he gently introduces the underlying mathematics, rendering the complex subject matter accessible and exciting for readers of all backgrounds." -- Björn Ommer, Professor at the Ludwig Maximilian University of Munich and leader of the original team behind Stable Diffusion
Illustrated
Yes
Synopsis
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics--the 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 learning-powered 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 eighteenth-century 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 artificial 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.
LC Classification Number
Q325.5.A56 2024
賣家提供的物品說明
賣家信用評價 （13,251）
- j***s (1110)- 買家留下的信用評價。過去 6 個月購買已獲認證Just as described, great condition, great packaging, good price, thanks so much, oh & I think you gave me the wrong tracking number, as this just came today July 28th, the one I got came last week in another part of NY, thanks though, A+++ Seller :)Predator by Ed Brisson Vol. 2: The Preserve by Ed Brisson, Netho Diaz（#305343383283）
- o***o (248)- 買家留下的信用評價。過去 6 個月購買已獲認證Couldn’t believe the price I was able to get this masterpiece for. Seller was fantastic; not only was the shipping unbeatable, the packing and communication was top notch!!! Seller gets 5 ⭐️’s across the board💯The Crow by O'Barr, James [Hardcover]（#116421218264）
- m***t (123)- 買家留下的信用評價。過去 6 個月購買已獲認證I'm grateful to this seller for going the extra mile to locate this obscure book, and also for the great communication to explain the situation. Great packaging and fast shipping. Just outstanding and huge Thank You!!
賣家信用評價 （13,251）
- j***s (1110)- 買家留下的信用評價。過去 6 個月購買已獲認證Just as described, great condition, great packaging, good price, thanks so much, oh & I think you gave me the wrong tracking number, as this just came today July 28th, the one I got came last week in another part of NY, thanks though, A+++ Seller :)Predator by Ed Brisson Vol. 2: The Preserve by Ed Brisson, Netho Diaz（#305343383283）
- o***o (248)- 買家留下的信用評價。過去 6 個月購買已獲認證Couldn’t believe the price I was able to get this masterpiece for. Seller was fantastic; not only was the shipping unbeatable, the packing and communication was top notch!!! Seller gets 5 ⭐️’s across the board💯The Crow by O'Barr, James [Hardcover]（#116421218264）
- m***t (123)- 買家留下的信用評價。過去 6 個月購買已獲認證I'm grateful to this seller for going the extra mile to locate this obscure book, and also for the great communication to explain the situation. Great packaging and fast shipping. Just outstanding and huge Thank You!!