Jendrik Jördening

CTO @Nooxit

Jendrik is CTO at Nooxit. He formerly worked at Aurubis and Akka Germany on Data Science and Deep Learning in the field of industry 4.0 and autonomous machines.

At the same time he took part in the Udacity Self-Driving Car Nanodegree, participating with a group of other Udacity student in the Self-Racing Cars event at the Thunderhill race-track in California.

There, the group of students taught a car to drive around every turn of the race track autonomously. 

Find Jendrik Jördening at:

Workshop

[SOLD OUT] AI to Production and Its Pitfalls

During the workshop, we will learn how to maintain a machine learning project end to end. We will show you common problems we have seen when deploying machine learning applications,
like:

  • Shipping models consistently to production
  • Not ensuring data sanity upon requests
  • Tracking inputs and outputs to our model
  • Input value shift over time
  • Previously unknown categories

The workshop will be run in a provided AWS environment. This allows us to work with no prior setup of your local machines. We will anyhow give you all the tools and guides to set it up locally, so you can apply all the knowledge later in whatever environment you have available.

Date

Friday Nov 13 / 09:00AM PST (3 hours)

Level

Level Intermediate

Topics

Artificial Intelligence

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Interactive Session

Panel: The Purpose of Machine Learning

In the machine learning world, there is no shortage of buzzwords. Each trend follows the next in rapid succession, during the panel we will discuss how and when our panelists decide to pick up on a trend and when to focus on proven technology. We delve into these decisions based on their definition of success and company goals.

During the session, we hope to find promising trends to pick up on and to pinpoint the similarities and differences between a data scientist and a software engineer in terms of achieving business value.

Date

Tuesday Nov 10 / 12:30PM PST (40 minutes)

Track

Machine Learning for the Software Engineer

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Session

Panel: Future of Language Support for ML

In this panel, we'll take a look at the state of the art of ML/AI development and how advances in language technology (specifically differentiable programming languages) can help.

Date

Wednesday May 19 / 09:10AM PDT (40 minutes)

Track

Modern CS in the Real World

Topics

Applied Computer Science

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