Kelleher d (231 Ergebnisse)

Sprache: Englisch
Verlag: The MIT Press, 2018
- Softcover
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Zustand: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

Sprache: Englisch
Verlag: MIT Press Ltd, 2018
- Softcover
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Paperback. Zustand: Very Good. 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.

Sprache: Englisch
Verlag: MIT Press Ltd, 2018
- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Paperback. Zustand: Good. 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.

Sprache: Englisch
Verlag: The MIT Press (edition Illustrated), 2018
- Softcover
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Paperback. Zustand: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

- Hardcover
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Hardback. Zustand: Good. New Arenas for Violence examines the history, nature, and causal factors of occupational homicide-murder in the workplace-with a view to the development of a comprehensive understanding of the issue and the introduction of prevention measures designed to establish a safer work environment for the American worker.…

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Hardback. Zustand: Very Good. New Arenas for Violence examines the history, nature, and causal factors of occupational homicide-murder in the workplace-with a view to the development of a comprehensive understanding of the issue and the introduction of prevention measures designed to establish a safer work environment for the American worker.…

Sprache: Englisch
Verlag: The MIT Press (edition Illustrated), 2018
- Softcover
Anbieter: BooksRun, Philadelphia, PA, USABooksRun
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Paperback. Zustand: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Zustand: Good. Good condition ex-library book with usual library markings and stickers.

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Zustand: Very Good.

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Mass Market Paperback. Zustand: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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Hardcover. Zustand: Very Good. Illustrated. With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

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Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

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Mass Market Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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Mass Market Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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Mass Market Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Mass Market Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Mass Market Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Mass Market Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Zustand: Good. While the short, lethal careers of serial killers such as Jeffrey Dahmer and Andrew Cunanan terrorize the public and provide morbid inspiration for the entertainment industry, few people realize that it is the female serial killer, seldom heard of, who deserves most to be feared. Murder Most Rare provides startling information about the female serial murderer, who is shown to be far more deadly and determined, difficult to apprehend, and complexly motivated than her male counterpart. While serial murder by women is relatively rare, a surprising number of female serial killers are identified by the authors, nearly 100 in this century, with half of them having committed their crimes in America. By examining these women's backgrounds, motives and methods of killing, the book sheds new light on dozens of overlooked cases of murder and uncovers callous crimes and passions gone awry.After a thought-provoking exploration of the cultural biases that have caused us historically to dismiss and ignore the criminal potential of women, Murder Most Rare divides female serial murders for the first time into seven categories: Black Widow, Angel of Death, Sexual Predator, Revenge, Profit or Crime, Team Killer and Question of Sanity. These seven types vary widely in motivation, choice of victims, weapons and methods. The authors reveal patterns that occur within the types, but stress that the complicated nature of these women's crimes makes personality profiling almost impossible--a fact that causes the jobs of homicide investigators to be difficult, indeed, sometimes impossible. This is a uniquely personal look into a dark, shocking world. …

Sprache: Englisch
Verlag: MIT Press, 2018
- Softcover
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Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Sprache: Englisch
Verlag: MIT Press, 2018
- Softcover
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Sprache: Englisch
Verlag: MIT Press, 2018
- Softcover
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Sprache: Englisch
Verlag: MIT Press, 2018
- Softcover
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Sprache: Englisch
Verlag: MIT Press, 2018
- Softcover
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Sprache: Englisch
Verlag: MIT Press, 2018
- Softcover
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Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Sprache: Englisch
Verlag: MIT Press Ltd, 2019
- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Paperback. Zustand: Very Good. An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning--major trends, possible developments, and significant challenges.…

Sprache: Englisch
Verlag: MIT Press Ltd, 2019
- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Paperback. Zustand: Good. An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning--major trends, possible developments, and significant challenges.…

- Hardcover
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Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

- Hardcover
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Hardcover. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.