This book shows how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Topics include: exploratory data analysis; visualization; decision trees; rule induction; k-nearest neighbors; naive Bayesian; artificial neural networks; s…
This book is intended for a business person, analyst, or student who wants to quickly learn how to use Splunk to manage data. It would be helpful to have a bit of familiarity with basic computer concepts, but no prior experience of Splunk is required.
Make sense of your data and predict the unpredictable About This Book A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big …
Make sense of your data and predict the unpredictableAbout This Book* A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics* Apply the principles and techniques of predictive analytics to effectively interpret big…
•Grasp the major methods of predictive modeling and move beyond black box thinking to a deeper level of understanding •Leverage the flexibility and modularity of R to experiment with a range of different techniques and data types •Packed with practical advice and tips explaining…
Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts.
R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. Th…