9781492089926 - practical simulations for machine learning: using synthetic data for ai de buttfield-addison, paris; buttfield-addison, mars; nugent, tim; manning, jon (25 resultados)
Practical Simulations for Machine Learning: Using Synthetic Data for AI
Buttfield-Addison, Paris; Buttfield-Addison, Mars; Nugent, Tim; Manning, Jon
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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EUR 21,63
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Paperback. Condición: Fair. 1. 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.
Practical Simulations for Machine Learning Using Synthetic Data for AI
Buttfield-Addison, Paris & Jon Manning & Mars Buttfield-Addison & Tim Nugent
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Librería: Mahler Books, PFLUGERVILLE, TX, Estados Unidos de AmericaMahler Books
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EUR 19,54
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Paperback. Condición: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear, edge wear, corner wear. Inside pages are clean. ; 7 X 0.7 X 9.19 inches; 331 pages.
Practical Simulations for Machine Learning : Using Synthetic Data for Ai
Buttfield-addison, Paris; Buttfield-addison, Mars; Nugent, Tim; Manning, Jon
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 41,07
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Condición: New.
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Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de AmericaLakeside Books
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EUR 39,87
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Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.
Practical Simulations for Machine Learning
Tim Nugent, Jon Manning, Paris Buttfield-Addison, Mars Buttfield-Addison
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 45,70
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Paperback. Condición: New. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using…simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engineUse a game engine to synthesize images for use as training dataCreate simulation environments designed for training deep reinforcement learning and imitation learning modelsUse and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimizationTrain a variety of ML models using different approachesEnable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 46,03
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Practical Simulations for Machine Learning : Using Synthetic Data for Ai
Buttfield-addison, Paris; Buttfield-addison, Mars; Nugent, Tim; Manning, Jon
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 45,39
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Condición: As New. Unread book in perfect condition.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 44,39
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 47,17
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Condición: new.
Practical Simulations for Machine Learning : Using Synthetic Data for Ai
Buttfield-addison, Paris; Buttfield-addison, Mars; Nugent, Tim; Manning, Jon
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 44,38
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Condición: New.
Practical Simulations for Machine Learning
Tim Nugent, Jon Manning, Paris Buttfield-Addison, Mars Buttfield-Addison
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 63,21
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Paperback. Condición: New. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using…simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engineUse a game engine to synthesize images for use as training dataCreate simulation environments designed for training deep reinforcement learning and imitation learning modelsUse and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimizationTrain a variety of ML models using different approachesEnable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de AmericaBargainBookStores
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EUR 64,42
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Paperback or Softback. Condición: New. Practical Simulations for Machine Learning: Using Synthetic Data for AI. Book.
Practical Simulations for Machine Learning : Using Synthetic Data for Ai
Buttfield-addison, Paris; Buttfield-addison, Mars; Nugent, Tim; Manning, Jon
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 50,82
Envío por EUR 17,56Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
Practical Simulations for Machine Learning: Using Synthetic Data for AI
Buttfield-Addison, Paris; Buttfield-Addison, Mars; Nugent, Tim; Manning, Jon
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- Primera edición
Librería: PearlPress, Camperdown, NSW, AustraliaPearlPress
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EUR 56,11
Envío por EUR 13,61Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Soft cover. Condición: New. 1st Edition. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artifici…al data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: Design an approach for solving ML and AI problems using simulations with the Unity engine Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning models Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization Train a variety of ML models using different approaches Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 52,89
Envío por EUR 18,74Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 11 disponibles
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 72,91
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial…data using simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engine Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning models Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization Train a variety of ML models using different approaches Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits" With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Practical Simulations for Machine Learning: Using Synthetic Data for AI
Buttfield-Addison, Paris; Buttfield-Addison, Mars; Nugent, Tim; Manning, Jon
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 70,41
Envío por EUR 7,61Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Practical Simulations for Machine Learning: Using Synthetic Data for Ai
Buttfield-addison, Paris/ Manning, Jon/ Buttfield-addison, Mars/ Nugent, Tim
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 65,54
Envío por EUR 14,63Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 500 pages. 9.19x7.00x0.91 inches. In Stock.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 72,59
Envío por EUR 9,50Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. 2022. Paperback. . . . . .
Practical Simulations for Machine Learning: Using Synthetic Data for AI
Buttfield-Addison, Paris; Buttfield-Addison, Mars; Nugent, Tim; Manning, Jon
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 85,60
Envío por EUR 3,45Se envía dentro de Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New. 1st edition NO-PA16APR2015-KAP.
Practical Simulations for Machine Learning
Tim Nugent, Jon Manning, Paris Buttfield-Addison, Mars Buttfield-Addison
- Tapa blanda
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 47,59
Envío por EUR 43,20Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using…simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engineUse a game engine to synthesize images for use as training dataCreate simulation environments designed for training deep reinforcement learning and imitation learning modelsUse and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimizationTrain a variety of ML models using different approachesEnable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 90,07
Envío por EUR 9,07Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 67,00
Envío por EUR 63,53Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial… data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: - Design an approach for solving ML and AI problems using simulations with the Unity engine - Use a game engine to synthesize images for use as training data - Create simulation environments designed for training deep reinforcement learning and imitation learning models - Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization - Train a variety of ML models using different approaches - Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
Practical Simulations for Machine Learning
Tim Nugent, Jon Manning, Paris Buttfield-Addison, Mars Buttfield-Addison
- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,78
Envío por EUR 76,08Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Paperback. Condición: New. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using…simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engineUse a game engine to synthesize images for use as training dataCreate simulation environments designed for training deep reinforcement learning and imitation learning modelsUse and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimizationTrain a variety of ML models using different approachesEnable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 111,88
Envío por EUR 31,97Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial…data using simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engine Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning models Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization Train a variety of ML models using different approaches Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits" With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
