Publicado por O'Reilly Media 7/12/2022, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 43,11
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Practical Simulations for Machine Learning: Using Synthetic Data for AI 1.18. Book.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 50,41
Convertir monedaCantidad disponible: 13 disponibles
Añadir al carritoCondición: New. In.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 49,15
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Publicado por O'Reilly Media, Inc, USA, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 55,04
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New. 2022. Paperback. . . . . .
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 40,74
Convertir monedaCantidad disponible: 12 disponibles
Añadir al carritoCondición: New.
Publicado por O'Reilly Media, Inc, USA, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 51,06
Convertir monedaCantidad disponible: 11 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 526.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 43,21
Convertir monedaCantidad disponible: 12 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 48,53
Convertir monedaCantidad disponible: 12 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por O'Reilly Media, Inc, USA, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 66,48
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,55
Convertir monedaCantidad disponible: 12 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Oreilly & Associates Inc, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 65,77
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 500 pages. 9.19x7.00x0.91 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 69,18
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Publicado por O'reilly Media Jul 2022, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 67,03
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 80,58
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Publicado por O'Reilly Media, Sebastopol, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 62,52
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
EUR 39,95
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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!
Publicado por O'Reilly Media (edition 1), 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 40,99
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Fair. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Publicado por O'Reilly Media (edition 1), 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 41,05
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Publicado por O'Reilly Media, Sebastopol, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 85,58
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. 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.
Publicado por O'Reilly Media, Sebastopol, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 52,65
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. 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.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 39,81
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: 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!
Publicado por Oreilly & Associates Inc, 2022
ISBN 10: 1492089923 ISBN 13: 9781492089926
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 60,57
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 500 pages. 9.19x7.00x0.91 inches. In Stock. This item is printed on demand.