An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making …
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular …
Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies …
Center for Social Research Univercity of Notre Dame, 2013. – 42 p. – ISBN: N/AThe purpose of this document is …
R itself is well equipped with documentation, which ships with every distribution of R and the R add-on packages. But …
A practitioner's tools have a direct impact on the success of his or her work. This book will provide the …
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and …
Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and …
The book is OK but it falls behind other available texts at comparable or lower prices. I agree with others …
The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time …
This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together …
PRACTICAL TIME SERIES FORECASTING WITH R: A HANDS-ON GUIDE, SECOND EDITION provides an applied approach to time-series forecasting. Forecasting is …
