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Business Analytics, is driven by an increasing demand from the real world. This book reviews advances in data analytics and business intelligence that assists industries in problem-solving exercises, with a view to driving competitive advantage.
This book focuses on how to use various data mining techniques to develop real-world applications. It offers practical applications with a clear understanding of data mining concepts. The book also has a special chapter on case studies of data mining in practice.
In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the... Læs mere
This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows.
This text discusses the techniques to convert agricultural knowledge in the context of ontology and assist grape growers by providing this knowledge... Læs mere
Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the entire data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
The textbook provides students with tools they need to analyze complex data using methods from data science, machine... Læs mere