This book is intended for data scientists who analyze large datasets to generate insights and for data engineers who develop platforms, solutions or applications based on machine learning. Though many data science practitioners are quite familiar with machine learning techniques and R, they may not know about Bayesian inference and its merits. This book therefore would be helpful to even experienced data scientists and data engineers to learn Bayesian methods and use them in their projects.
Dr. Hari M. Koduvely
Dr. Hari M. Koduvely is an experienced data scientist working at the Samsung R&D Institute in Bangalore, India. He has a PhD in statistical physics from the Tata Institute of Fundamental Research, Mumbai, India, and post-doctoral experience from the Weizmann Institute, Israel, and Georgia Tech, USA. Prior to joining Samsung, the author has worked for Amazon and Infosys Technologies, developing machine learning-based applications for their products and platforms. He also has several publications on Bayesian inference and its applications in areas such as recommendation systems and predictive health monitoring. His current interest is in developing large-scale machine learning methods, particularly for natural language understanding.