Natural Language Processing
Natural Language Understanding
Natural Language Generation
Named Entity Extraction
Deep Learning Models
RNN & LSTM
Machine Learning Models
Hugging Face Transformers
Angela is an AI Professional specialized in Ethics, Explainability, Diversity & Inclusion in AI and recipient of Top 10 Analytics Leaders 2020 From Institute of Analytics Professional Australia and also sits on the Founding Editorial Board of Springer’s new & timely AI and Ethics Journal.
Angela has been working with Insurance Australia Group, Macquarie Group, Microsoft, and Salesforce to provide AI outreach programs for high schools and also Technology Literacy programs for USYD, UNSW, UTS, and Macquarie University Business female students for 100 Girls 100 Futures Workshop.
In 2018, Angela and her team won the Data Science & AI National Industry Innovation Awards for “Best Industry Application of AI for AI & Data-driven Underwriting Engine” through a collaborative ANZ Wealth (Zurich Insurance) & the University of Technology of Sydney project. Angela works with STEM class in high school, Women in Business in major universities in Sydney, and Women in technology at Macquarie Group to promote Diversity and Inclusion in technology and Ethics, Fairness and Responsibility in AI.
Anuj is a seasoned Machine Learning leader, having incubated and led multiple ML teams. During his career, he has worked in academia, early stage startups as well as Fortune 100. He has successfully led efforts for building commercially viable products in a wide spectrum of verticals and functions. He has authored over a dozen research papers and patents.
Anuj is a major speaker at various international forums. He has delivered technical talks, bootcamps and participated in panel discussions at prestigious forums like ODSC, Anthill inside, PyData DC, Fifth Elephant, ICDCN, PODC, to name a few. He was Co-editor of “Anthill inside 2018”. He is a well-known name in the Machine Learning ecosystem.
Advanced NLP: From Essentials to Deep Transfer Learning(Full-Day Training)
Piyush Arora is a Research Scientist with American Express AI Labs, Bangalore, India since September 2019. Before joining American Express, he was a Post-Doctoral researcher with the ADAPT Centre, Dublin, Ireland. He completed PhD in computer science in August 2018 from Dublin City University, Ireland.
His areas of interest are Information Extraction and Retrieval, Machine Learning, User Search Behavior, Natural Language Processing, Sentiment Analysis, and Deep Learning.
During his PhD, he worked in the area of Interactive Information Retrieval, towards developing novel solutions for improving the overall search experience and user learning. Mainly focused on Natural Language Processing and Machine Learning techniques and tools and their application for different tasks, domains, and languages.
He is interested in learning and exploring more on how to use technology to bring changes at the root level, especially focusing on education and human learning, how can we make better societies and ecosystem with the use of technology. He believes “Guided Technology” can play an important role in the path towards a global sustainable world.
Piyush is a graduate from Georgia Institute of Technology and is currently working as an NLP Engineer at vahan.ai. After passing out from IITR with a Bachelors’s in ECE, he started out his career as a 4G protocol engineer but soon got attracted towards the fast-growing ML/AI domain. Over time he switched over to this domain and, after some exploration, found his interest in working with vernacular languages.
Thomas leads the Science Team at Huggingface Inc., a Brooklyn-based startup working on Natural Language Generation and Natural Language Understanding.
After graduating from Ecole Polytechnique (Paris, France), he worked on laser-plasma interactions at the BELLA Center of the Lawrence Berkeley National Laboratory (Berkeley, CA). Got accepted for a PhD at MIT (Cambridge, MA) but ended up doing his PhD in Statistical/Quantum physics at Sorbonne University and ESPCI (Paris, France), working on superconducting materials for the French DARPA (DGA) and Thales.
Thomas is interested in Natural Language Processing, Deep Learning, and Computational Linguistics. Much of his research is about Natural Language Generation (mostly) and Natural Language Understanding (as a tool for better generation).
Kimberly Fessel is a Senior Data Scientist at Metis, the industry’s only accredited, full-time, immersive data science bootcamp. Prior to joining Metis as an instructor, Kimberly worked in digital advertising at MRM//McCann where she focused on helping clients understand their customers by leveraging unstructured data with modern NLP techniques. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute and completed an NSF-funded postdoctoral fellowship in math biology at the Ohio State University. She is passionate about data visualization and about harnessing the power of language to tell compelling data stories.
Joan Xiao is a Principal Data Scientist at Linc Global, a commerce-specialized customer care automation company. In her role, she applies novel natural language processing and machine learning techniques to improve customer experience. Previously she led machine learning and data science teams at various companies ranging from startup to Fortune 100. Joan received her Ph.D in Mathematics and MS in Computer Science from University of Pennsylvania.
Transfer Learning in NLP(Talk)
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)
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
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
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