A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own
In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
"synopsis" may belong to another edition of this title.
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.
"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 impressive and wide-ranging work that covers everything from the history of machine learning to the latest technical advances in the field."―Daily Beast
"Domingos writes with verve and passion."―New Scientist
"Unlike other books that proclaim a bright future, this one actually gves 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
"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 sience 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 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
"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."―Times Higher Education
"An exhilarating venture into groundbreaking computer science." ―Booklist, starred review
"[An] enthusiastic but not dumbed-down introduction to machine learning...lucid and consistently informative.... With wit, vision, and scholarship, Domingos decribes how these scientists are creating programs that allow a computer to teach itself. Readers...will discover fascinating insights."
―Kirkus Reviews
"This book is a must have to learn machine learning without equation. It will help you get the big picture of the several learning paradigms. Finally, the provocative idea is not only intriguing, but also very well argued."―Data Mining Research
"About this title" may belong to another edition of this title.
Shipping:
FREE
Within U.S.A.
Seller: Dream Books Co., Denver, CO, U.S.A.
Condition: like_new. In unread excellent condition. Pages are crisp and clean with no markings. Item may have minor shelf wear on the cover, spine, pages, or dust cover. Item may contain remainder marks on edges. Seller Inventory # DBV.0465094279.LN
Quantity: 1 available
Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00080399915
Quantity: 7 available
Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00085838876
Quantity: 2 available
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 0.73. Seller Inventory # G0465094279I2N00
Quantity: 1 available
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.73. Seller Inventory # G0465094279I4N00
Quantity: 2 available
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.73. Seller Inventory # G0465094279I3N00
Quantity: 2 available
Seller: ThriftBooks-Phoenix, Phoenix, AZ, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.73. Seller Inventory # G0465094279I4N00
Quantity: 2 available
Seller: ThriftBooks-Reno, Reno, NV, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.73. Seller Inventory # G0465094279I4N00
Quantity: 2 available
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.73. Seller Inventory # G0465094279I3N00
Quantity: 2 available
Seller: ThriftBooks-Reno, Reno, NV, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.73. Seller Inventory # G0465094279I3N00
Quantity: 2 available