Take a Look at the New ODSC Europe 2021 Focus Areas

ODSC - Open Data Science
3 min readMar 18, 2021

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Designed to help you identify the sessions that best fit your interests and conference learning goals, the ODSC Europe 2021 focus areas cover the industries and fields that data science and AI are transforming. You’ll learn about the latest research, topics, and tools from the leading experts in their respective fields. Plus, with the introduction of 3 new focus areas exclusive to ODSC Europe this June 8–10, you will have access to training that you can’t get anywhere else.

The list of confirmed focus areas include

Machine Learning and Deep Learning

This focus area gathers together the creators and top practitioners in the rapidly expanding fields of deep learning and machine learning to discuss the latest advances, trends, and models in these fields. The topics discussed will include TensorFlow, neural networks, PyTorch, autonomous machines, recommendation systems, reinforcement learning, and much more.

AI in Quant Finance (ODSC Europe Exclusive)

Focused on the tools and skills that are becoming increasingly essential in the finance industry, this focus area will help you identify and grow the software engineering skills you need to excel as a data scientist in finance. You’ll learn the essential quantitative modeling frameworks as well as how to use machine learning and reinforcement techniques to invest, trade, and manage risk in finance. Some of the topics that will be covered include Sell Cron, Buy Airflow: Modern Data Pipelines In Finance, Automated ML in Quant Finance: Promise, Practice and Pitfalls, and Artificial Intelligence in Finance.

https://odsc.com/europe/#register

Big Data Analytics

Some of the best and brightest minds in data science will be presenting on the latest techniques and processes to collect, clean, and analyze growing volumes of structured data. This focus area will also cover many of the techniques for drawing conclusions and insights from big data. Some of the topics that will be taught include text analytics, machine vision, data wrangling, and predictive analytics.

MLOps and Data Engineering

As data science is integrated into more aspects of an organization, the challenges of deploying and monitoring models in production, managing data science teams and workflows, and measuring ROI arise. This focus area will utilize use-cases, best practices, and anecdotes to show how to effectively incorporate data science practice into your organization.

NLP

During the NLP track, you’ll learn firsthand from core practitioners and contributors about the latest trends in data science languages, tools, such as pre-trained models. You’ll also connect with some of the most innovative people in the industry.

Responsible AI for Social Good (ODSC Europe Exclusive)

This track brings together top data ethicists to provide a practical, ethical framework for technologists to develop machine learning systems. Using case studies and existing frameworks, you’ll develop the tools you need to build your own ethical approach for deploying machine learning in the real world. You will learn how to responsibly design human-in-the-loop review processes, monitor bias, build trust transparency, and develop explainable machine learning systems to ensure data and model security.

AI in Life Sciences and Pharma (ODSC Europe Exclusive)

Learn about the latest advances, trends, and models in the life science sector from the leading pharma and medtech experts. You’ll learn how to analyze how AI affects patient outcomes and research, understand the tools needed to solve problems in the business of medicine, and how to apply AI to innovate and understand emerging technologies in drug discovery projects.

Register for ODSC Europe 2021 now

Don’t miss this chance to build the skills that will help you excel in your chosen career through these ODSC Europe 2021 focus areas. Register today to save 60% on your ODSC Europe Virtual Pass.

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ODSC - Open Data Science
ODSC - Open Data Science

Written by ODSC - Open Data Science

Our passion is bringing thousands of the best and brightest data scientists together under one roof for an incredible learning and networking experience.

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