Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by 作者: Pedro Domingos
ISBN-10 书号: 0465065708
ISBN-13 书号: 9780465065707
Edition 版本: 1
Publisher Finelybook 出版日期: 2015-09-22
Pages: 352
媒体推荐
“Domingos writes with verve and passion,and the book has a strong narrative.”
—New Scientist
“[The Master Algorithm] opens the doorway to a world many of us never see or think about,though it has a tremendous impact on our daily lives.”
—Shelf Awareness for Readers
“[The Master Algorithm] does a good job of examining the field's five main techniques...The subject is meaty and the author…has a knack for introducing concepts at the right moment.”
—The Economist
“Wonderfully erudite,humorous,and easy to read.”
—KDNuggets
“Domingos is a genial and amusing guide,who sneaks us around the backstage areas of the science in order to witness the sometimes personal (and occasionally acrimonious) tenor of research on the subject in recent decades... This is a highly inclusive book,aimed at a wide range of readers from the merely curious to those who might be interested in pursuing a career in the field. Descriptions and discussions are presented with a commendable lack of jargon and the examples are clear and accessible.”
—Times Higher Education
“An exhilarating venture into groundbreaking computer science.”
—Booklist,starred review
“Machine learning,known in commercial use as predictive analytics,is changing the world. This riveting,far-reaching,and inspiring book introduces the deep scientific concepts to even non-technical readers,and yet also satisfies experts with a fresh,profound perspective that reveals the most promising research directions. It's a rare gem indeed.”
—Eric Siegel,founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click,Buy,Lie,or Die
“With terms like ‘Machine Learning' and ‘Big Data' regularly making headlines,there is no shortage of hype-filled business books on the subject. There are also textbooks that are too technical to be accessible. For those in the middle—from executives to college students—this is the ideal book,showing how and why things really work without the heavy math. Unlike other books that proclaim a bright future,this one actually gives you what you need to understand the changes that are coming.”
—Peter Norvig,Director of Research,Google and coauthor of Artificial Intelligence: A Modern Approach
“Starting with the audacious claim that all knowledge can be derived from data by a single ‘master algorithm,' Domingos takes the reader on a fast-paced journey through the brave new world of machine learning. Writing breezily but with deep authority,Domingos is the perfect tour guide from whom you will learn everything you need to know about this exciting field,and a surprising amount about science and philosophy as well.”
—Duncan Watts,Principal Researcher,Microsoft Research,and author of Six Degrees and Everything Is Obvious *Once You Know the Answer
“The holy grail of computer science is a machine that can teach itself,as we humans do,from experience. Machine learning could help us do everything from curing cancer to building humanoid robots. Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be.”
—Walter Isaacson,author of Steve Jobs and The Innovators
“[An] enthusiastic but not dumbed-down introduction to machine learning... lucid and consistently informative.... With wit,vision,and scholarship,Domingos describes how these scientists are creating programs that allow a computer to teach itself. Readers...will discover fascinating insights.”
—Kirkus Reviews
“This book is a sheer pleasure,mixed with education. I am recommending it to all my students,those who studied machine learning,those who are about to do it and those who are about to teach it. The author succeeds not only in presenting an accurate and entertaining journey through the methodological ideas behind machine learning but also in embedding those ideas in a colorful tapestry of philosophical questions concerning the ultimate capacity of man to emulate itself. A must read for both realists and futurists.”
—Judea Pearl,Professor of Computer Science,UCLA and winner of the A. M. Turing Award
作者简介
Pedro Domingos is a professor of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award,the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence,he lives near Seattle.
目录
1. The Machine Learning Revolution 2. The Master Algorithm 3. Hume's Problem of Induction 4. How Does Your Brain Learn? 5. Evolution: Nature's Learning Algorithm 6. In the Church of the Reverend Bayes 7. You Are What You Resemble 8. Learning Without a Teacher 9. The Pieces of the Puzzle Fall into Place 10. This Is the World on Machine Learning
媒体推荐
“多明戈斯以激情和热情写道，这本书有着强烈的叙述。”
新科学家
“[主算法]打开了我们许多人看不到或想到的世界的门口，尽管它对我们的日常生活产生了巨大的影响。”
- 读者意识
“[主算法]做了一个很好的检查领域的五个主要技术...主题是肉体，作者...有一个诀窍在适当的时候介绍概念。
-经济学家
“奇妙的博学，幽默，容易阅读”。
-KDNuggets
“多明戈斯是一个有趣和有趣的指南，他们围绕着科学的后台区域溜走我们，以便目睹近几十年来有时个人（有时甚至是激进的）研究主题的这个主题。这是一本高度包容性的书，旨在将广泛的读者从简单的好奇到那些可能有兴趣在现场追求事业的读者。描述和讨论呈现出值得赞扬的缺乏行话，例子清晰易读。“
- 高等教育
“开创性的计算机科学的一个令人兴奋的冒险”。
- 书列表，加星标的评论
“机器学习，在商业用途中被称为预测分析，正在改变世界。这个铆钉，深远和激动人心的书向甚至非技术读者介绍了深刻的科学概念，并且以一种新鲜深刻的视角满足了专家，揭示了最有希望的研究方向。这是一个罕见的宝石。“
预测分析世界的创始人--Eric Siegel和Predictive Analytics的作者: 预测谁将点击，购买，谎言或死亡的力量
“通过”机器学习“和”大数据“这些术语定期成为头条新闻，不乏关于这个问题的炒作商业书籍。还有教科书太技术化，无法访问。对于那些从高管到大学生的中学生来说，这是一本理想的书，展示了如何，为什么事情真正的工作没有重的数学。与其他宣传光明未来的书不同，这个实际上给了你所需要的，以了解所发生的变化。“
-Peter Norvig，谷歌研究总监，人工智能合作者: 现代方法
“从大胆的说法开始，所有知识都可以通过单一的”主算法“从数据中获得，”多明戈斯通过勇敢的新机器学习世界让读者快速进入旅程。多米尼加是一个完美的旅游指南，您将从中学到一切您需要了解的关于这个激动人心的领域，以及令人惊奇的数学科学和哲学。
-Duncan Watts，微软研究部首席研究员，六度和一切的作者都是显而易见的*一旦知道答案
“计算机科学的圣杯是一种可以像我们人类一样从经验中教导自己的机器。机器学习可以帮助我们从治愈癌症到建构人形机器人方面做一切。佩德罗·多明戈斯（Demo Domingos）对机器学习进行了揭示，并展示了未来将会如何令人兴奋和激动人心。
- 沃尔特·艾萨克森，史蒂夫·乔布斯和创新者的作者
“[An]热心而不是倾倒机器学习的介绍...清晰和一致的信息。多明戈斯通过机智，远见卓识和奖学金，描述了这些科学家如何创建允许计算机教学的程序。读者会发现迷人的见解。“
-Kirkus评论
“这本书是一种纯粹的乐趣，与教育混合在一起。我向所有的学生，学习机器学习的人，即将要做的人和即将教授的人提出建议。作者不仅通过机器学习背后的方法论思想，不断提出准确有趣的旅程，还将这些想法嵌入到一个关于人类终极能力效仿的哲学问题的彩色挂毯中。 A必须为现实主义者和未来主义者阅读。“
- 犹太珍珠，加州大学洛杉矶分校计算机科学系教授，图灵奖A.
作者简介
佩多罗多明戈斯是华盛顿大学计算机科学教授。他是SIGKDD创新奖的获得者，是数据科学中最高的荣誉。他是人造智能提升协会的研究员，住在西雅图附近。
目录
1.机器学习革命
2.主算法
3.休谟的感应问题
4.你的大脑如何学习？
5.进化: 自然的学习算法
6.在教皇的贝叶斯
7.你是什么样的组合
8.学习没有老师
9.拼图的碎片落到位
10.这是机器学习的世界