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A practical, skill-based introduction to data analysis and data literacy. Accompanied by a student study website.
RETAIL SELLING POINTS Practical up-to-date coverage Over 100 practical, battle-tested Hadoop techniques Major updates to key technologies AUDIENCE Readers should be familiar with Hadoop and have experience programming in Java or another OOP language.
SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put that theory into practice. In... Læs mere
Prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields.
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning.... Læs mere
Presents the commonly needed techniques for working with population statistics, irrespective of the reader's mathematical background. This book provides concepts and... Læs mere
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles.