353 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 € -
