370 rezultatov
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Foundations of Probabilistic Programming(2020)This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graVezava: Trda101,50 € -
Essential Math for Data Science(2022) NIELD, THOMASTo succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebraVezava: Mehka68,39 € -
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AI and Machine Learning For Coders(2020) MORONEY, LAURENCEIf you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confVezava: Mehka68,39 € -
Practical AI on the Google Cloud Platform(2020) LANHAM, MICHEALWorking with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools. With this book, you'll learn how to use Google's AI-pVezava: Mehka82,59 € -
Practical Time Series Analysis(2019) NIELSEN, AILEENCovering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challenges in time series, using both traditional statistical and modern machine leVezava: Mehka82,59 € -
Fourth Education Revolution Reconsidered(2020) SELDON, ANTHONY,ABIDOYE, OLADIMEJI,METCALF, TIMOTHYVezava: Mehka21,02 € -
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Will AI Dictate the Future?(2022) RAVINDRAN, DR ANTONTimely book as we stand at the dawn of the AI revolution. With guest chapters by experts in their respective domains about AI and its impact. Clear, jargon-free prose, highly accessible to general readers.Vezava: Trda30,83 € -
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Reinforcement Learning(2020) WINDER PH.D., PHILReinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This practical book shows data science and AI professionals how to perfoVezava: Mehka68,39 € -
Hands-On Healthcare Data(2022) NGUYEN, ANDREWThis book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific machine learning and deep learning examples with a focus onVezava: Mehka92,91 € -
Designing Autonomous AI(2022) ANDERSON, KENCEThis book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.Vezava: Mehka68,39 € -
Practical MLOps(2021) GIFT, NOAH,DEZA, ALFREDOMLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize yourVezava: Mehka92,91 €
