116 rezultatov
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Data-Driven Science and Engineering(2022) BRUNTON, STEVEN L. (UNIVERSITY OF WASHINGTON),KUTZ, J. NATHAN (UNIVERSITY OF WASHINGTON)Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB®, new chapters on reinVezava: Trda96,25 € -
Deep Network Design for Medical Image Computing(2022) LIAO, HAOFU (APPLIED SCIENTIST, REKOGNITION AND VIDEO ANALYSIS TEAM, AMAZON WEB SERVICES, INC, CA, USA),ZHOU, S. KEVIN (PRINCIPAL KEY EXPERT, MEDICAL IMAGE ANALYSIS, SIEMENS HEALTHCARE TECHNOLOGY CENTER, PRINCETON, NEW JERSEY, USA),LUO, JIEBO (PROFESSOR OF COMPUTER SCIENCE, UNIVERSITY OF ROCHESTER, NY, USA)Vezava: Mehka77,48 € -
First Course in Machine Learning(2020) ROGERS, SIMON (UNIVERSITY OF GLASGOW, UNITED KINGDOM),GIROLAMI, MARK (UNIVERSITY COLLEGE LONDON, UNITED KINGDOM)The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes three new chapters with more detailed discussion of Markov Chain Monte Carlo techniques, ClaVezava: Mehka80,49 € -
Machine Learning Fundamentals(2021) JIANG, HUI (YORK UNIVERSITY, TORONTO)This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely usedVezava: Mehka82,25 € -
Model-Based Clustering and Classification for Data Science(2019) BOUVEYRON, CHARLES,CELEUX, GILLES,MURPHY, T. BRENDAN (UNIVERSITY COLLEGE DUBLIN),RAFTERY, ADRIAN E. (UNIVERSITY OF WASHINGTON)This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and predictioVezava: Trda134,75 € -
AI Ethics(2020) COECKELBERGH, MARK (PROFESSOR OF PHILOSOPHY OF MEDIA AND TECHNOLOGY, UNIVERSITY OF VIENNA)An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.Vezava: Mehka23,42 € -
Natural Language Processing with Transformers, Revised Edition(2022) TUNSTALL, LEWIS,VON WERRA, LEANDRO,WOLF, THOMASIf you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Vezava: Mehka86,94 € -
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Artificial Intelligence (WIRED guides)(2021) BURGESS, MATTHEW,WIREDThe past decade has witnessed extraordinary advances in artificial intelligence. He looks at the ways in which it has already brought us everything from voice recognition software to self-driving cars, and explores its potential for further revolutionaryVezava: Mehka15,41 € -
Data Governance: The Definitive Guide(2021) ERYUREK, EVREN,GILAD, URI,LAKSHMANAN, VALLIAPPA,KIBUNGUCHY, ANITA,ASHDOWN, JESSIData governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organizaVezava: Mehka82,59 € -
Artificial Intelligence in Medical Sciences and Psychology(2022) NOKERI, TSHEPO CHRISVezava: Mehka76,55 €
