353 rezultatov
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Deep Learning Projects Using TensorFlow 2(2020) SILAPARASETTY, VINITAWork through engaging and practical deep learning projects using TensorFlow 2.0.Vezava: Mehka99,52 € -
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Natural Language Processing in Action(2019) HOBSON, LANE,COLE, HOWARD,HANNES, HAPKEVezava: Mehka71,27 € -
Concepts of Soft Computing(2019) CHAKRAVERTY, SNEHASHISH,SAHOO, DEEPTI MOYI,MAHATO, NISHA RANIVezava: Trda14,22 € -
Drone Wars(2021) FRANTZMAN, SETH J.Drones are transforming warfare through the use of artificial intelligence, drone swarms, and surveillance—leading to competition between the US, China, Israel, and Iran. Who will be the next drone superpower?Vezava: Trda30,84 € -
Practical Deep Learning(2021) KNEUSEL, RONA book for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction using Python.Vezava: Mehka73,56 € -
22 Murders Of Madison May(2022) BARRY, MAXFrom the author of Lexicon and Providence comes a thrilling speculative psychological suspense about a serial killer pursuing his victim across time and spaceVezava: Mehka14,01 € -
22 Murders Of Madison May(2021) BARRY, MAXFrom the author of Lexicon and Providence comes a thrilling speculative psychological suspense about a serial killer pursuing his victim across time and spaceVezava: Trda23,82 € -
Futureproof(2022) ROOSE, KEVINA New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human.Vezava: Mehka18,21 € -
Federated Learning for IoT Applications(2022)This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy.Vezava: Trda156,04 € -
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Explainable AI with Python(2021) GIANFAGNA, LEONIDA,DI CECCO, ANTONIOModel-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for theVezava: Mehka94,49 € -
Essentials of Pattern Recognition(2020) WU, JIANXIN (NANJING UNIVERSITY, CHINA)Introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. The text focuses on a relatively small number of core concepts with an abundance of illustrations and examples and provVezava: Trda99,75 € -
Machine Learning in Asset Pricing(2021) NAGEL, STEFANA groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such dataVezava: Trda71,40 € -
Machine Learning Design Patterns(2020) LAKSHMANAN, VALLIAPPAThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify theVezava: Mehka68,39 € -
Artificial Intelligence in Games(2022) ROBERTS, PAULThis book covers all the necessary topics that a professional game AI programmer needs to know, from math and steering behaviours to terrain analysis, pathfinding, decision making. Written to be easily accessible, each topic is accompanied by an example gVezava: Mehka96,24 €
