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For East 2022 please rever to the event app for the in-person conference and the our virtual platform for our most current virtual schedule

We are delighted to announce our East 2023  Schedule!

All sessions are scheduled in EST time zone (Eastern Standard Time)

  • ODSC Talks/Keynotes schedule includes Tuesday May 9 –  Thursday May 11. In-person sessions are available to Gold, Platinum, Mini-Bootcamp, and VIP Pass holders. Business talks are available to  Ai x Pass holders. Virtual Sessions are available to Virtual Premium, Virtual Platinum & Virtual Mini-Bootcamp pass holders.
  • ODSC Trainings are scheduled from Tuesday May 9 –  Thursday May 11. In-person sessions are available to Platinum, Mini-Bootcamp, and VIP Pass holders. Virtual Sessions are available to Virtual Platinum & Virtual Mini-Bootcamp pass holders.
  • ODSC Workshop/Tutorials are scheduled from Tuesday May 9th to Thursday May 11th. All in-person sessions are available to VIP, Platinum, Mini-Bootcamp and Gold pass holders. Silver Pass holders can attend only on Wednesday and Thursday.  Virtual Sessions are available for Virtual Premium, Virtual Platinum & Virtual Mini-Bootcamp pass holders.
  • ODSC Bootcamp Sessions are scheduled VIRTUALLY on Monday May 8 as pre conference training. They are ONLY available for In person Mini-Bootcamp, and VIP Pass and Virtual Mini-Bootcamp holders.
Speaker and speaker schedule times are subject to change.
Please Note: In-Person attendees will have access to virtual sessions. If you have a virtual pass, please note that we will not live-stream any in-person sessions. Only virtual sessions will be recorded. 

The prerequisites to the workshop and training sessions are available HERE 

 

Please review the final schedule:

– for in-person:  Download TBM Engage app
Enter the app code: east2023 in the App Store 

– for virtual: live.odsc.com (agenda section)

Bootcamp Sessions
-Monday, 8th May (Virtual)
Trainings/Workshops
---Tuesday, 9th May
--Wednesday, 10th May
-Thursday, 11th May
Keynotes/Talks
---Tuesday, 9th May
--Wednesday, 10th May
-Thursday, 11th May
-Monday, 8th May (Virtual)
---Tuesday, 9th May
--Wednesday, 10th May
-Thursday, 11th May
---Tuesday, 9th May
--Wednesday, 10th May
-Thursday, 11th May
09:00 - 11:45
Introduction to Machine Learning

Virtual | Bootcamp | Machine Learning | Beginner

 

The Introduction to Machine Learning Workshop will build upon the attendee’s foundation of math and coding knowledge to develop a basic understanding of the most popular machine learning algorithms used in industry today. We will answer such questions as: What are the different types of ML algorithms ? What is Overfitting and how can we avoid it? Why is XGBoost consistently outperform other algorithms?…more details

Introduction to Machine Learning image
Julia Lintern
Director of Data Science | Gartner
09:00 - 11:45
Programming with Data: Python and Pandas

Virtual | Bootcamp | Machine Learning | MLOps | Intermediate

 

 

In this training, you will learn how to accelerate your data analyses using the Python language and Pandas, a library specifically designed for tabular data analysis. We start by learning the core Pandas data structures, the Series and DataFrame. From these foundations, we will learn to use the split-apply-combine paradigm for grouped computations, manipulate time series, and perform advanced joins between datasets. Specifically, loading, filtering, grouping, and transforming data. Having completed this workshop, you will understand the fundamentals and advanced features of Pandas, be aware of common pitfalls, and be ready to perform your own analyses…more details

Programming with Data: Python and Pandas image
Daniel Gerlanc
VP of Engineering | Normal Computing
12:15 - 15:00
Mathematics for Data Science

Virtual | Bootcamp | Machine Learning | Beginner

 

 

Data science uses a combination of mathematics, statistics and computer science to help us solve questions of importance in a large number fields. In this workshop we will introduce the underlying mathematical principles of the field, with example problems gleaned from a number of different industries. By the end of the workshop the participant will know enough data science to explore their own problems, and be ready for more intermediate and advanced courses…more details

Mathematics for Data Science image
Eric Eager, PhD
VP of Research and Development | SumerSports
09:40 - 12:55
NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning

In-person | Half-Day Training | NLP | Machine Learning | Intermediate-Advanced

 

Large Language Models like GPT-4 are transforming the world in general and the field of data science in particular at an unprecedented pace. This training introduces deep learning transformer architectures including LLMs. Critically, it also demonstrates the breadth of capabilities of state-of-the-art LLMs like GPT-4 can deliver, including for dramatically revolutionizing the development of machine learning models and commercially successful data-driven products, accelerating the creative capacities of data scientists and pushing them in the direction of being data product managers. Brought to life via hands-on code demos that leverage the Hugging Face and PyTorch Lightning Python libraries, this training covers the full lifecycle of LLM development, from training to production deployment.more details

NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning image
Dr. Jon Krohn
Chief Data Scientist, Author of Deep Learning Illustrated | Nebula.io
09:40 - 17:15
Machine Learning in R Part I & II

In-person | Full-Day Training | Machine Learning | All Tracks | Beginner

 

In this training session we will work through the entire process of training a machine learning model in R. Starting with the scaffolding of cross-validation, onto exploratory data analysis, feature engineering, model specification, parameter tuning and model selection. We then take the finished model and deploy it as an API in a Docker container for production use…more details

Machine Learning in R Part I & II image
Jared Lander
Chief Data Scientist, Author of R for Everyone, Professor | Lander Analytics, Columbia Business School
09:40 - 17:15
Beyond the Basics: Data Visualization in Python

In-person | Full-Day Training | Data Visualization & Data Analysis | Machine Learning | Intermediate-Advanced

 

The human brain excels at finding patterns in visual representations, which is why data visualizations are essential to any analysis. Done right, they bridge the gap between those analyzing the data and those consuming the analysis. However, learning to create impactful, aesthetically-pleasing visualizations can often be challenging. This session will equip you with the skills to make customized visualizations for your data using Python…more details

Beyond the Basics: Data Visualization in Python image
Stefanie Molin
Software Engineer, Data Scientist, Chief Information Security Office, Author of Hands-On Data Analysis with Pandas | Bloomberg