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To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL... Læs mere
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Welcome to data science's dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software... Læs mere
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With this practical book, practitioners, students, and academics in both finance and data science will learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.
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Contains case studies on the practical application of data science and analytic tools in vehicles and smart cities and elaborates on how big data can expand their design and engineering.