Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Da: CampusBear, Coppell, TX, U.S.A.
paperback. Condizione: As New. No highlighting. Very minimal wear.
Da: thebookforest.com, San Rafael, CA, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 49,54
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Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 48,36
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Paperback or Softback. Condizione: New. Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems. Book.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 54,55
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EUR 57,31
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Aggiungi al carrelloPaperback. Condizione: New. Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and moreLearn how to adapt mathematical methods to different applications from completely different fieldsGain the mathematical fluency to interpret and explain how AI systems arrive at their decisions.
Da: California Books, Miami, FL, U.S.A.
EUR 58,49
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EUR 50,83
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 55,64
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,82
Quantità: 6 disponibili
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Lingua: Inglese
Editore: O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098107632 ISBN 13: 9781098107635
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI-including regression, neural networks, optimization, backpropagation, and Markov chains. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 70,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and moreLearn how to adapt mathematical methods to different applications from completely different fieldsGain the mathematical fluency to interpret and explain how AI systems arrive at their decisions.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 59,35
Quantità: 6 disponibili
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Condizione: NEW.
Da: Chiron Media, Wallingford, Regno Unito
EUR 56,19
Quantità: 6 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,39
Quantità: 6 disponibili
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Da: Majestic Books, Hounslow, Regno Unito
EUR 70,64
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 86,33
Quantità: 6 disponibili
Aggiungi al carrelloCondizione: New. 2023. Paperback. . . . . .
EUR 51,19
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Aggiungi al carrelloCondizione: NEW.
Da: Revaluation Books, Exeter, Regno Unito
EUR 82,58
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 425 pages. 9.19x7.00x1.30 inches. In Stock.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 88,41
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 59,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and moreLearn how to adapt mathematical methods to different applications from completely different fieldsGain the mathematical fluency to interpret and explain how AI systems arrive at their decisions.
EUR 79,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. 568 pp. Englisch.
EUR 79,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. 568 pp. Englisch.
EUR 79,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.