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Machine Learning
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出版日:2016/10/07 作者:Ethem Alpaydin  出版社:Mit Pr  裝訂:平裝
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday
優惠價: 79 479
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Machine Learning, revised and updated edition
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出版日:2021/08/17 作者:Ethem Alpaydin  出版社:Mit Pr  裝訂:平裝
A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.Today, machine learning underlies a range of app
優惠價: 79 479
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Deep Learning
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出版日:2019/09/10 作者:John D. Kelleher  出版社:Mit Pr  裝訂:平裝
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intellige
優惠價: 79 569
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AI Assistants
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出版日:2021/09/07 作者:Roberto Pieraccini  出版社:Mit Pr  裝訂:平裝
An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant.Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants. Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology
優惠價: 79 479
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Data Science
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出版日:2018/04/13 作者:John D. Kelleher; Brendan Tierney  出版社:Mit Pr  裝訂:平裝
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data
優惠價: 79 509
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出版日:2012/03/30 作者:Masashi Sugiyama; Motoaki Kawanabe  出版社:Mit Pr  裝訂:精裝
As the power of computing has grown over the past few decades, the field of machinelearning has advanced rapidly in both theory and practice. Machine learning methods are usuallybased on the assumptio
出版日:1984/09/05 作者:Larry Hirschhorn  出版社:Mit Pr  裝訂:精裝
In this thought-provoking study of work, worker, and machine in the postindustrial age, Hirschhorn points out that factories will become places of learning where the worker must be able to diagnose an
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