NDR June 9 2021

The autonomous driving dream is closer and closer to becoming a reality. We at Continental use machine learning to help the vehicles of tomorrow perceive their environment with great agility and precision, in order to assist the driver, and eventually to enable superhuman driving performance. This session will detail some of the ways in which deep learning models are used to detect, localize, and classify traffic participants, and to build a comprehensive environment model of the surroundings of the vehicle.

Ever wondered how quantum computers work, and how do they do machine learning? With quantum computing technologies nearing the ear of commercialization and quantum advantage, machine learning has been proposed as one of the most promising applications. One of the areas in which quantum computing is showing great potential is in generative models in unsupervised and semi-supervised learning.
In this talk we’ll learn the basics of generative machine learning, quantum computing, and how the two come together.
No previous knowledge of quantum computing and generative models is needed for this talk.

Ciprian and Patrick will discuss where things stand in the Quantum Computing world with an eye toward how close we might be to results that impact the lives of people in the real world. This 40 minute session will start with an overview in the first half and respond to questions for the second half of the session.

Machine learning operations (MLOps) is the use of machine learning models by development/operations (DevOps) teams. MLOps provides the tools and best practices to deploy, monitor, manage, and govern machine learning models in production. In this session you will learn MLOps best practices, with the goal of:
– Faster experimentation and development of models
– Faster deployment of models into production
– Quality assurance

“My Pandas is slow!” – I hear that a lot. We’ll look at ways of making Pandas calculate faster, help you express your problem to fit Pandas more efficiently and look at process changes that’ll make you waste less time debugging your Pandas. By attending this talk you’ll get answers faster and more reliably with Pandas so your analytics and data science work will be more rewarding.