Munich Datageeks - July Edition

It is time for our next Meetup. Publicis Sapient will host for the first time.

Format:

• 2 talks (each ca. 40 min incl. discussion)

• Time for networking + food + drinks before, in between and after the presentations

• Talks are held in English

• We will be taking photos and/or film footage at the event. These will be used to share news about our meetups, and to publicize upcoming events.

• We will provide a list of registered usernames to the sponsor to check at the entry.

• Please bring photo identification to be checked at the entrance.

Timon Ruban - Automated Hyperparameter Tuning

Abstract:

We'll philosophize about how machine learning is really nothing else than hyperparameter tuning, then take a look at how hyperparameter tuning is often done today and end with a deep dive on Population Based Training (PBT) and Asynchronous Simple Halving Algorithm (ASHA) two simple but efficient algorithms for automated hyperparameter tuning

Bio:

Timon learned about math at ETH Zurich and about machine learning at Stanford University. Today he works at luminovo.ai helping European companies accelerate the adoption of deep learning.

Markus Meyer - Can the perfect car be recommended to you?

Abstract:

The car configuration process is today a cumbersome process, which involves multiple steps, conflict resolutions and allows for not a lot of exploration of different car configurations. Markus will talk about how he developed with his team a new by machine learning supported approach to solve this business problem. You will learn how the team utilized the latest developments in recommender systems and how they engineered a working solution.

Bio:

Markus is a Technologist at Publicis Sapient who worked on many innovative solutions for many large enterprise customers. He has a strong software development background and started lately to build up our data engineering and data science capabilities.