By Anil Maheshwari
The ebook has proved highly regarded through the international. Many universities within the US, and worldwide, have followed it as a textbook for his or her classes. This 2017 variation has additional 4 new chapters in keeping with the options and proposals expressed through many reviewers.
Students throughout numerous educational disciplines, together with enterprise, desktop technological know-how, records, engineering, and others drawn to the belief of getting to know new insights and concepts from facts can use this as a textbook. pros in a variety of domain names, together with executives, managers, analysts, professors, medical professionals, accountants, and others can use this e-book to profit in a couple of hours the best way to make experience of and increase actionable insights from the big facts coming their approach. it is a flowing e-book that possible end in a single sitting, or you may go back to it repeatedly for insights and techniques.
Table of Contents
Chapter 1: Wholeness of knowledge Analytics
Chapter 2: enterprise Intelligence suggestions & Applications
Chapter three: information Warehousing
Chapter four: info Mining
Chapter five: information Visualization
Chapter 6: selection Trees
Chapter 7: Regression Models
Chapter eight: synthetic Neural Networks
Chapter nine: Cluster research
Chapter 10: organization Rule Mining
Chapter eleven: textual content Mining
Chapter 12: Naïve Bayes Analysis
Chapter thirteen: aid Vector Machines
Chapter 14: internet Mining
Chapter 15: Social community Analysis
Chapter sixteen: enormous Data
Chapter 17: information Modeling Primer
Chapter 18: statistics Primer
Chapter 19: info technology Careers
Appendix: info Mining educational utilizing R
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Extra info for Data Analytics Made Accessible: 2017 edition
Data Analytics Made Accessible: 2017 edition by Anil Maheshwari