Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Dr. Sid J Reddy

Dr. Sid J Reddy
Chief Scientist, Conversica

Website

Sid Reddy is chief scientist at Conversica. A recognized expert in natural language processing (NLP) and computational linguistics, Sid has designed, developed and contributed to dozens of NLP systems used in production in a wide array of use cases and industry verticals from healthcare, business intelligence, and life sciences to legal and ecommerce, including creating text-mining infrastructures from scratch at two startups and at the Mayo Clinic and founding an NLP lab at Northwestern University. Most recently, Sid was a principal applied scientist at Microsoft. His research ranges from acquiring lexical resources through distributed word vector representations learned from big data and applying them to improve state of the art in sequential labeling tasks to using functional theories of grammar for association extraction and question answering. He is a patented inventor, sought-after industry speaker, and published author with research featured in over 50 peer-reviewed publications and technical conferences. He is also an adjunct faculty member at Northwestern University and UC Berkeley. Sid holds a bachelor’s degree in computer science from the Indian Institute of Technology and a PhD from Arizona State University.

Sessions

16:00–16:40 Thursday, 11 October 2018
Implementing AI, Models and Methods
Location: King's Suite - Balmoral
Secondary topics:  Reinforcement Learning, Retail and e-commerce, Text, Language, and Speech
Dr. Sid J Reddy (Conversica)
Sid Reddy shows you how to avoid the hype and decide which use cases are the best for deep reinforcement learning. You'll explore the Markov decision process with conversational AI and learn how to set up the environment, states, agent actions, transition probabilities, reward functions, and end states. You'll also discover when to use end-to-end reinforcement learning. Read more.