... for everyone who has ever been afraid of statistics, Pearson Education Inc., Upper Saddle River, 2005 MONTGOMERY, D. C., ... I. H, and E. FRANK, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, ...
Mining Imperfect Data: Dealing With Contamination and Incomplete Records. Society ofIndustrial and Applier Mathematics. Project Management Institute (2013). A Guide to the Project Management Body of Knowledge (PMBOKGuides), 5thedn.
... with tick marks of 0, 10, 20, 30, 40 and 50. A logarithmic scale, or log scale, when applied to an axis of a graph, is a scale in which numbers increase through addition. For example, a logarithmic scale might start at 1, ...
Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories.
Kruskal-Wallis. and. Friedman. So far, we have focused on drilling down into data following one-way ANOVA. Of course, if one of the rank-based alternatives were used, it is still possible to carry out post hoc analysis, although these ...
Like any toolkit, the key to using it properly lies in knowing not only what each tool does but when to use it. This book will help the reader to develop this ability by applying the methods that are described within a business context.
"This is an ideal text for advanced undergraduate and graduate courses across the social sciences. Practitioners who need to refresh their knowledge of MDA will also find this an invaluable resource."--BOOK JACKET.
About this Book If you want to understand and perhaps start using the new data storage and analysis technologies that go beyond the SQL database model, this book is for you.
Once a research project has been designed and the data have been gathered, what is the best way to transform this information into something useful? The authors of this practical...
Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, ...
This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical ...