Bayesian Statistical Methods: With Applications to Machine Learning provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, this book is more focused on Bayesian methods applied routinely in practice, including multiple linear regression, mixed effects models and generalized linear models. This second edition includes a new chapter on Bayesian machine learning methods to handle large and c...

Shift and what happens when they don't re-think their work. The book features interviews with 25+ leading thinkers/authors/organizational leaders that address a specific goal or challenge that organizations face today and that have begun to shift/reset process. Chapters also feature a set of three core principles to guide the audience going forward, a five-step checklist of immediate action items, and a list of 10 "must read" items (books, studies, articles, videos, podcasts, etc.).