Description: FREE SHIPPING UK WIDE Practical Simulations for Machine Learning by Paris Buttfield-Addison, Jon Manning, Mars Buttfield-Addison, Tim Nugent With this practical book, youll 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Thats just the beginning.With this practical book, youll 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.Youll 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 Author Biography Dr. Paris Buttfield-Addison is cofounder of Secret Lab and @TheSecretLab on Twitter), a game development studio based in beautiful Hobart, Australia. Secret Lab builds games and game development tools, including the multi-award winning ABC Play School iPad games, Night in the Woods, the Qantas airlines Joey Playbox games, and the Yarn Spinner narrative game framework. Paris formerly worked as mobile product manager for Meebo (acquired by Google), has a degree in medieval history, a PhD in Computing, and writes technical books on mobile and game development (more than 20 so far) for OReilly Media. Paris particularly enjoys game design, statistics, law, machine learning, and human-centred technology research. He can be found on Twitter at @parisba and online at Jon Manning is the cofounder of Secret Lab, an independent game development studio. Hes written a whole bunch of books for OReilly Media about Swift, iOS development, and game development, and has a doctorate about jerks on the internet. Hes currently working on Button Squid, a top-down puzzler, and on the critically acclaimed award winning adventure game Night in the Woods, which includes his interactive dialogue system Yarn Spinner. Jon can be found on Twitter at @desplesda, and online at a Rose Geldard (Mars) is a technologist from Down Under in Tasmania. Entering the world of technology relatively late as a mature-age student, she has found her place in the world: an industry where she can apply her lifelong love of mathematics and optimization. She compulsively volunteers at industry events, dabbles in research, and serves on the executive committee for her states branch of the Australian Computer Society (ACS) as well as the AUC. She loves data science, machine learning, and science-fiction. She can be found on Twitter @TheMartianLife and online at Tim Nugent pretends to be a mobile app developer, game designer, tools builder, researcher, and tech author. When he isnt busy avoiding being found out as a fraud, he spends most of his time designing and creating little apps and games that he wont let anyone see. Tim spent a disproportionately long time writing this tiny little bio, most of which was spent trying to stick a witty sci-fi reference in, before he simply gave up. Tim can be found on Twitter at @The_McJones, and online at e. Details ISBN1492089923 Author Tim Nugent Short Title Practical Simulations for Machine Learning Pages 500 Language English Year 2022 ISBN-10 1492089923 ISBN-13 9781492089926 Format Paperback Subtitle Using Synthetic Data for AI Place of Publication Sebastopol Country of Publication United States Publication Date 2022-06-21 AU Release Date 2022-06-21 NZ Release Date 2022-06-21 US Release Date 2022-06-21 Publisher OReilly Media Imprint OReilly Media UK Release Date 2022-06-21 Birth 1962 Affiliation Chelsea Clark Consulting, LLC, USA Position Professor of Cardiology Qualifications RPh, PhD DEWEY 006.31011 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. 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Format: Paperback
Language: English
ISBN-13: 9781492089926
Author: Paris Buttfield-Addison, Jon Manning, Mars Buttfield-Addison
Type: NA
Book Title: Practical Simulations for Machine Learning
Publication Name: NA