





Introductory Statistics with R (Statistics and Computing)
This book provides an elementarylevel introduction to R, targeting both nonstatistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the...     Data Mining and Statistics for Decision Making
Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify... 

Data Science For Dummies
Discover how data science can help you gain indepth insight into your business – the easy way!
Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals...   Learning DevOps: Continuously Deliver Better Software
Learn to use some of the most exciting and powerful tools to deliver worldclass quality software with continuous delivery and DevOps
About This Book

Get to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developer
...   Kernel Smoothing: Principles, Methods and Applications
Comprehensive theoretical overview of kernel smoothing methods with motivating examples
Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of... 


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