""Unravel the complexities of longitudinal data analysis with A Nonparametric Approach to the Analysis of Longitudinal Data via a Set …
Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by …
Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on …
""Embark on a comprehensive journey through the fundamentals of statistical learning theory with 'An Elementary Introduction to Statistical Learning Theory' …
Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised …
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to …
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand …
Focusing on real data, critical thinking, and contemporary technology, this textbook offers a data analysis approach to the subject while …
I have three texts in machine learning (Duda et. al, Bishop, and this one), and I can unequivocally say that, …
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a …
R itself is well equipped with documentation, which ships with every distribution of R and the R add-on packages. But …
This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading …
Every trader will appreciate this reliable, realistic, and systematic approach to trading financial and commodity markets. In a step-by-step manner, …
Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments …
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became …
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides …
