Data Science Workshop

We meet to learn more about data science and machine learning by exploring Kaggle competitions.

Kaggle (https://www.kaggle.com) is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users.

The competition we are going to discuss is Ultrasound Nerve Segmentation.
https://www.kaggle.com/c/ultrasound-nerve-segmentation

This competition's sponsor is working to improve pain management through the use of indwelling catheters that block or mitigate pain at the source. Pain management catheters reduce dependence on narcotics and speed up patient recovery. Accurately identifying nerve structures in ultrasound images is a critical step in effectively inserting a patient’s pain management catheter.
In this competition, Kagglers are challenged to build a model that can identify nerve structures in a dataset of ultrasound images of the neck. Doing so would improve catheter placement and contribute to a more pain free future.

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On the meetup we will have a presentation by our guest speaker, Natalia Chicherova
https://www.linkedin.com/in/natalia-chicherova-/

Natalia is a PostDoc at Biozentrum, with extensive research experience in 3D visualization.
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What is required:

• Laptop (and charger)
• Gmail account

As we will be using Google Colaboratory, no Python packages installation is required.

Google Colaboratory is a free cloud service hosted by Google to encourage Machine Learning and Artificial Intelligence research. It provides Python 2.7 and 3.6 support, and also a free GPU acceleration (Tesla K80 GPU).

References:
https://colab.research.google.com/notebooks/welcome.ipynb