107 rezultatov
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AI Ethics(2020) COECKELBERGH, MARK (PROFESSOR OF PHILOSOPHY OF MEDIA AND TECHNOLOGY, UNIVERSITY OF VIENNA)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 € -
Machines that Think(2022) NEW SCIENTISTMachines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat.Vezava: Mehka15,41 € -
Algorithms for a New World(2022) QUARTERONI, ALFIOCovid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalVezava: Mehka33,25 € -
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 € -
Machine Learning in Asset Pricing(2021) NAGEL, STEFANA groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such datVezava: Trda71,40 €
