machine learning the new ai the mit press essential knowledge series

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Machine Learning

Author : Ethem Alpaydin
ISBN : 9780262529518
Genre : Computers
File Size : 60. 67 MB
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A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face recognition, and driverless cars.

Paradox

Author : Margaret Cuonzo
ISBN : 9780262525497
Genre : Philosophy
File Size : 40. 68 MB
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An introduction to paradoxes showing that they are more than mere puzzles but can prompt new ways of thinking.

Information And Society

Author : Michael Buckland
ISBN : 9780262533386
Genre : Language Arts & Disciplines
File Size : 41. 4 MB
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A short, informal account of our ever-increasing dependence on a complex multiplicity of messages, records, documents, and data.

The Technological Singularity

Author : Murray Shanahan
ISBN : 9780262527804
Genre : Computers
File Size : 55. 99 MB
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The idea of technological singularity, and what it would mean if ordinary human intelligence were enhanced or overtaken by artificial intelligence.

Metadata

Author : Jeffrey Pomerantz
ISBN : 9780262528511
Genre : Business & Economics
File Size : 80. 8 MB
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Everything we need to know about metadata, the usually invisible infrastructure for information with which we interact every day.

Machine Translation

Author : Thierry Poibeau
ISBN : 9780262534215
Genre : Computers
File Size : 24. 81 MB
Format : PDF, Mobi
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The trouble with translation -- A quick overview of the evolution of machine translation -- Before the advent of computers -- The beginnings of machine translation : the first rule-based systems -- The ALPAC report (1966) and its consequences -- Parallel corpora and sentence alignment -- Example-based machine translation -- Statistical machine translation and word alignment -- Segment-based machine translation -- Challenges and limitations of statistical machine translation -- Deep learning machine translation -- The evaluation of machine translation systems -- The machine translation industry, between professional and mass-market applications -- Conclusion : the future of machine translation

The Internet Of Things

Author : Samuel Greengard
ISBN : 9780262527736
Genre : Computers
File Size : 23. 77 MB
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A guided tour through the Internet of Things, a networked world of connected devices, objects, and people that is changing the way we live and work.

The Self Tracking

Author : Gina Neff
ISBN : 9780262529129
Genre : Computers
File Size : 63. 31 MB
Format : PDF
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What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking.

Cloud Computing

Author : Nayan B. Ruparelia
ISBN : 9780262529099
Genre : Computers
File Size : 67. 76 MB
Format : PDF
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"This book provides a lucid overview of the implications of the cloud phenomenon and the opportunities and risks associated with it"--

The Deep Learning Revolution

Author : Terrence J. Sejnowski
ISBN : 9780262038034
Genre : Computers
File Size : 35. 37 MB
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How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

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