Host: Jendrik Joerdening

Data Scientist @Aurubis

Jendrik is a Data Scientist at Aurubis.He is working on Data Science and Deep Learning in the field of Industry 4.0.After studying Physics and Space Science and Technology, where he determined the communication strategies for the Mars 2020 rover, he worked at Akka Germany as a Data Scientist and now moved to Aurubis staying in the same field. At the same time he takes part in the Udacity Self-Driving Car Nanodegree. In this context, he participated 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 Joerdening at

Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches, including image recognition, NLP, predictions, & modeling.

  • Deep Learning in Practice

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe including use cases on machine translation, computer vision, & image recogition.

  • AI Meets the Physical World

    Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.

  • Papers to Production: CS in the Real World

    Groundbreaking papers make real world impact.

  • Solving Software Engineering Problems with Machine Learning

    Anomaly detection, ML in IDE's, bayesian optimization for config. Machine Learning techniques for more effective software engineering.

  • Predictive Architectures in the Real World

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.