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The master algorithm : how the quest for the ultimate learning machine will remake our world

by Domingos, Pedro,

Format: Print Book 2015
Availability: Available at 7 Libraries 7 of 9 copies
Available (7)
Location Collection Call #
CLP - East Liberty Non-Fiction Collection Q387.D66 2015
Location  CLP - East Liberty
 
Collection  Non-Fiction Collection
 
Call Number  Q387.D66 2015
 
 
CLP - Main Library Second Floor - Non-fiction Q387.D66 2015
Location  CLP - Main Library
 
Collection  Second Floor - Non-fiction
 
Call Number  Q387.D66 2015
 
 
CLP - Squirrel Hill Non-Fiction Collection Q387.D66 2015
Location  CLP - Squirrel Hill
 
Collection  Non-Fiction Collection
 
Call Number  Q387.D66 2015
 
 
Carnegie Library of McKeesport Nonfiction 003.54 D713
Location  Carnegie Library of McKeesport
 
Collection  Nonfiction
 
Call Number  003.54 D713
 
 
Mt. Lebanon Public Library Non-Fiction 003.54 Dom
Location  Mt. Lebanon Public Library
 
Collection  Non-Fiction
 
Call Number  003.54 Dom
 
 
Sewickley Public Library Nonfiction 003.54 DOM 2015
Location  Sewickley Public Library
 
Collection  Nonfiction
 
Call Number  003.54 DOM 2015
 
 
Upper St. Clair Township Library Technology 004.04 DOM
Location  Upper St. Clair Township Library
 
Collection  Technology
 
Call Number  004.04 DOM
 
 
 
Unavailable (2)
Location Collection Status
Northland Public Library Nonfiction CHECKED OUT
Location  Northland Public Library
 
Collection  Nonfiction
 
Status  CHECKED OUT
 
 
Penn Hills Library Non-Fiction IN TRANSIT
Location  Penn Hills Library
 
Collection  Non-Fiction
 
Status  IN TRANSIT
 
 
Summary
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.
Published Reviews
Booklist Review: "*Starred Review* In the amazing machine logic that helps Netflix users find movies, eHarmony clients find dates, and Amazon customers find books, Domingos sees merely the forerunner of a powerful Master Algorithm that may soon revolutionize our world, making computers and robots self-programming learners that no longer need human guidance. Himself a pioneer in the field, Domingos tutors nonspecialist readers in the workings of algorithms that render a computer capable of teaching itself how to perform a task with ever-increasing reliability. Without delving into the complexities, readers explore the thinking of the five different groups striving to perfect the three fundamental elements representation, evaluation, and optimization driving this process and consider ways that creative software engineers might fuse the strengths of these five groups' divergent perspectives into one all-potent universal algorithm. When finally forged, that algorithm, Domingos predicts, will so thoroughly transform the world that human soldiers will disappear from battlefields, children will grow up with robot nannies, and ordinary Janes and Joes will use computer-assisted DNA design to claim the movie-star bodies they crave. Skeptics may dismiss Domingos' vision as hopelessly utopian, and libertarians may brand it as dangerously intrusive. But no one will find it boring. An exhilarating venture into groundbreaking computer science.--Christensen, Bryce Copyright 2015 Booklist"
From Booklist, Copyright (c) American Library Association. Used with permission.
Additional Information
Subjects Knowledge representation (Information theory)
Artificial intelligence -- Social aspects.
Artificial intelligence -- Philosophy.
Cognitive science -- Mathematics.
Algorithms.
Publisher New York :2015
Language English
Notes Includes index.
Description xxi, 329 pages : illustrations ; 25 cm
ISBN 9780465065707
0465065708
Other Classic View