"The book covers the implementation of graph theory in R and Python for the purpose of the analysis of people networks. It starts with an overview of the importance of networks and graphs in people analytics and a brief tutorial of the R programming language for those with no pr…
"The book covers the implementation of graph theory in R and Python for the purpose of the analysis of people networks. It starts with an overview of the importance of networks and graphs in people analytics and a brief tutorial of the R programming language for those with no pr…
"The book covers the implementation of graph theory in R and Python for the purpose of the analysis of people networks. It starts with an overview of the importance of networks and graphs in people analytics and a brief tutorial of the R programming language for those with no pr…
"The book covers the implementation of graph theory in R and Python for the purpose of the analysis of people networks. It starts with an overview of the importance of networks and graphs in people analytics and a brief tutorial of the R programming language for those with no pr…
Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. Starting with an overview of the origins of graph theory and…
"This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on …
"This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on …
"This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on …
Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best 'swiss army knife' we have for ans…