Bøger af Parag Kulkarni

Vikram Bhagwat at 22 with his engineering degree and decent job was already ready to create history. But on that stormy night while Pune was in its deep sleep and nature was on in its full song evil strikes at him. On that day his life changed completely. He was arrested on charges of stealing IP and cheating organization. Though he gets bail, he was outcasted from the IT community; his dream was shattered in no time. As he battled against the red wolves in society - while hiding in dormitories in suburbs - he kept learning. The young and beautiful lawyer, Nupur, fought battles for him. Their passionate love story blossoms amidst all upheavals. This is not about business -IP or the corporate world; rather it is the odyssey of a man in search of truth... The plot is a brilliantly drawn journey through the complexities of tumultuous economic growth and the amazing atmospheres of rural India... Matteo Olivieri PhD, - Italian Writer, Economist and Orator. This sensitive author expresses his feelings and professional wisdom through this poetic novel of realist fiction. It nicely combines intense and delightful moments...- Hector Gomez Gauchia, PhD - Spanish writer. It's quite amazing how this entire thriller unfolds in to several layers of emotions...- Mr. Sameer Kulkarni, Executive Producer, On Air Promotions, Star India Pvt.Ltd

This book presents thoughts and pathways to build revolutionary machine learning models with the new paradigm of machine learning to adapt behaviorism. It focuses on two aspects - one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing machine learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing machine learning models based on the human choice paradigm. Third part takes you further to look at machine learning based choice architecture. The proposed pioneering choice-based paradigm for machine learning presented in the book will help readers to develop products - help readers to solve problems in a more humanish way and to negotiate with uncertainty in a more graceful but in an objective way. It will help to create unprecedented value for business and society. Further, it will unveil a new paradigm for modern intelligent businesses to embark on the new journey; the journey of transition from shackled feature rich and choice poor systems to feature flexible and choice rich natural behaviors.

This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts.

* Authors have both industrial and academic experiences * Case studies are included reflecting author's industrial experiences * Downloadable tutorials are available .