ODSC Europe 2022 may be over, but you can still catch many of the sessions on-demand. With sessions on topics such as NLP, machine learning, deep learning, and MLOps, there are a lot of new skills you can learn. To help you get started, we’ve highlighted just a few of the data science videos. Check them out below.
Rule Induction and Reasoning in Knowledge Graphs: Daria Stepanova, PhD | Lead Research Scientist | Bosch Center for AI
To create knowledge graphs (KGs), and effectively clean and curate them, it’s essential to learn the rules from KGs. This session will cover the latest in rule induction methods, current challenges, and recent opportunities.
Full-stack Machine Learning for Data Scientists: Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds
Learn about the 8 layers of the machine learning stack and which ones are essential for data scientists to understand and be able to work with. With this knowledge, you will be able to more effectively move your projects through the production pipeline.
Flawed Machine Learning Security: The Top Security Flaws in the ML Lifecycle (and how to avoid them): Alejandro Saucedo | Engineering Director, Machine Learning | Seldon
In this session, you’ll learn about which security risks to look out for and the best ways to mitigate them for a wide range of stages during the machine learning lifecycle. Through a practical example, you’ll see how best to secure a machine learning model and build an understanding of both the practical and conceptual topics of MLSecOps.
Social Biases in Text Representations and their Mitigation: Danushka Bollegala, PhD | Professor in the Department of Computer Science | University of Liverpool
Although the development of large-scale language models has accelerated the improvement of NLP applications like machine translation systems, chatbots, and more, they have also introduced social biases. In this session, you’ll learn how to identify the different levels and types of biases and how to mitigate them in your NLP applications.
Vector Search for Data Scientists: Connor Shorten | Research Scientist | SeMI Technologies
This session will help you discover new ways to unlock valuable insights through different metrics. Using real data, you’ll practice using the vector search engine Weaviate to utilize semantics to analyze data without the limitation of symbolic tags.
Human-Friendly, Production-Ready Data Science with Metaflow: Ville Tuulos | Co-Founder | Outerbounds
This session will cover one method for enabling data scientists to build and ultimately deploy machine learning applications and workflows without the help of software engineers. Over the course of the session, you’ll learn about the modern ML infrastructure stack, how to increase productivity with tools like Metaflow, and deployment strategies that will work with your existing systems.
Introduction to WSL2 for Data Science with Z by HP: Akram Dweikat | Network Economics (ML) at Deliveroo | Global Data Science Z by HP Ambassador
This session will provide you with the information you need to run and effectively use WSL 2 – Windows Subsystem for Linux. It will answer questions like: How does WSL2 fit in your workflow? What is the optimal way to set up your machine? How to run your first code? and more.
Digital Twins: Not All Digital Twins are Identical: Dr. Anand Srinivasa Rao | Global Artificial Intelligence Lead | AI-Emtech Lead in Labs | Partner in Analytics Insights | PwC
Digital Twins can be used to describe a digital data twin or an ecosystem of cognitive adaptive twins with a wide range of meanings. During this session, you will cover the different uses of the term, its history, as well as examples of digital twins, in industries such as healthcare, transportation, and banking.
Ethnicity, Equity, and AI: Sara Khalid | Senior Research Associate in Biomedical Data Science and University Research Lecturer | University of Oxford
Developments in recent years have shown that AI could have many impactful applications in healthcare. However, it also can increase inequity through the introduction of biased data. This session will cover the many challenges in health equity and AI, including correctness, granularity, and completeness of the data, as well as address some possible solutions.
Data Science Against COVID-19: Nuria Oliver, PhD | Commissioner to the President for Valencian Government | AI Strategy and Data Science at ELLIS | Co-founder and Vice President at ELLIS Alicante Unit Foundation | Chief Data Scientist at Data-Pop Alliance
Learn about the insights gained from Dr. Nuria Oliver’s work on COVID-19 from March 2020 to April 2022. Her work spanned 4 major areas: predictive models, human mobility modeling, a large-scale, online survey, and computational epidemiological models. This session will cover the results gained in each of the above areas.
Watch all of these data science videos from ODSC Europe 2022 here
The above videos showcase the sheer amount of content that ODSC conferences always deliver. For now, you can watch all of these videos here by signing up for Ai+ Training for free. If these videos are making you hungry for more data science content, then check out on-demand Ai+ Training sessions, ODSC APAC this September, or ODSC West this November.