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This textbook is ideally suited for an undergraduate course in database systems. The discipline of database systems design and management is discussed... Læs mere
This book explores the tools and techniques to bring about the marriage of structured and unstructured data.
Written by the best-selling author of Python for Finance, Yves Hilpisch, this new book explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.
The following workshops are included in this volume: Emp-ER: Empirical Methods... Læs mere
Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and... Læs mere
Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and... Læs mere
Intermediate-Advanced user level
Dimension reduction offers researchers and scholars the ability to make complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite... Læs mere
This new book aims to provide both beginners and experts with a completely algorithmic... Læs mere
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant... Læs mere
In a crowded field of data visualization and analytics tools, Tableau Desktop has emerged as the clear leader. With this handy pocket reference, author Ryan Sleeper (Innovative Tableau) shows you how to translate the vast amounts of data into useful information.