Data Mining - Simple Steps to Win, Insights and Opportunities for Maxing Out Success
Author | : Gerard Blokdijk |
Publisher | : Complete Publishing |
Total Pages | : 228 |
Release | : 2015-10-11 |
ISBN-10 | : 1488898359 |
ISBN-13 | : 9781488898358 |
Rating | : 4/5 (59 Downloads) |
Download or read book Data Mining - Simple Steps to Win, Insights and Opportunities for Maxing Out Success written by Gerard Blokdijk and published by Complete Publishing. This book was released on 2015-10-11 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The one-stop-source powering Data mining success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful Data mining knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Data mining innovation - INCLUDED are numerous real-world Data mining blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: What are the top 10 data mining or machine learning algorithms? How do I learn data mining? What is data mining? What is the future of data analysis? What are the best startups in the field of analytics / data mining / databases? How do I start a data mining firm? Why is data mining used? What techniques are useful for data mining financial time series? What are common data mining fallacies? What books do you recommend to get introduced in the data mining world? What does data mining involve? What are the most useful data mining / analysis / science tools? What are examples of data mining and analysis of succesful Kickstarter projects? What approaches exist for data-mining time series? What are some good research topics in data mining? How do I learn data mining in one month? Which are the most promising startups at the genomics/data mining interface? How should one begin career in data mining/business intelligence? What are the new data mining technologies? ...and much more...