ODSC Europe Virtual Conference | September 17-19 , 2020
Natural Language Processing Track
Learn the latest models, advancements, and trends from the top practitioners and researchers behind NLP
NLP has seen rapid advances in recent years. With some of the sharpest minds in data science presenting, get the latest insights, natural language processing training, trends, and discoveries in data science languages, tools, topics – and beyond.
Connect with some of the most innovative people and ideas in the world of data science, while learning first-hand from core practitioners and contributors. Learn about the latest advancements and trends in NLP, including pre-trained models, with use-cases focusing on deep learning, speech-to text, and semantic search.
What You'll Learn
Talks & Workshops on these topics:
Topics
Natural Language Processing
NLP Transformers
Pre-trained Models
Text Analytics
Natural Language Understanding
Sentiment Analysis
Natural Language Generation
Speech Recognition
Named Entity Extraction
Models
BERT
XLNet
GPT-2
Transformers
Word2Vec
Deep Learning Models
RNN & LSTM
Machine Learning Models
ULMFiT
Transfer Learning
ToolsÂ
Tensorflow 2.0
Hugging Face Transformers
PyTorch
TheanoÂ
SpaCy
NLTK
AllenNLP
Stanford CoreNLP
Keras
FLAIRÂ
ODSC EUROPE Virtual Conference 2020 | September 17 - 19
Register NowSome of Our Previous Track Speakers

Dr. Anju Kambadur
Dr. Prabhanjan (Anju) Kambadur heads the AI Engineering group at Bloomberg. Anju leads a group of 100+ researchers and engineers who build solutions for Bloomberg clients in the areas of machine learning, natural language processing (NLP) and natural language understanding, information extraction, knowledge graphs, question answering, and table understanding. Previously, Anju was a research staff member in the Business Analytics and Mathematical Sciences Department at IBM Research’s Thomas J. Watson Research Center, where he worked on problems in machine learning, such as matrix sketching, genome-wide association studies, temporal causal modeling, and high-performance computing. He received his PhD from Indiana University. Anju has published peer-reviewed articles in the fields of high-performance computing, machine learning, and natural language processing.
AI Research at Bloomberg(Talk)

Byron Galbraith, PhD
Byron Galbraith is the Chief Data Scientist and co-founder of Talla, where he works to translate the latest advancements in machine learning and natural language processing to build AI-powered conversational agents. Byron has a PhD in Cognitive and Neural Systems from Boston University and an MS in Bioinformatics from Marquette University. His research expertise includes brain-computer interfaces, neuromorphic robotics, spiking neural networks, high-performance computing, and natural language processing. Byron has also held several software engineering roles including back-end system engineer, full-stack web developer, office automation consultant, and game engine developer at companies ranging in size from a two-person startup to a multi-national enterprise.
Alternatives to Reinforcement Learning for Real World Problems(Talk)
Why Attend
Several of the best minds and biggest names in data science will be presenting
Network with attendees from leading data science companies to learn how others are tackling similar problems
Gain quality training in the hottest data science topics, tools, and languages
Learn the latest in data science from industry leaders without having to make room in the budget — tickets are surprisingly inexpensive
Who will attend
Some of the world’s best data science speakers
The brains and authors behind today’s most popular open data science tools, topics, and languages
Hundreds of attendees focused on data science
Chief Data Scientists
Thought leaders working in data science
Data Scientists and Analysts
Software Developers
CEOs, CTOs, CIOs
Data Visualization professionals
Venture Capitalists and Investors
Startup Founders and Executives
Attendees from Healthcare, Finance, Education, Business, Intelligence, and other industries
Big data and data science innovators