The end of our first Kaggle challenge should be the start of the next challenge. But before we head jump in the next pool of data, we want to come together in order to reflect on our group effort - what went well, what can we improve for the next challenge.
After this lessons learnt session we are eager to find a next suitable health related challenge on Kaggle. In the long term we also would be happy to host a challenge ourselves with the help of our partners in the digital health hub ecosystem. So enough to discuss and brainstorm on.
As always everyone is welcome to join to our casual meetup for ML / DL / AI Enthausiasts!
*** General Announcement of Kaggle Squad ***
This project group is all about machine learning and deep learning with a focus on healthcare and it´s open for everyone – beginners and experts! We run regular biweekly events with informal keynotes and hands-on working sessions.
Exploring diverse datasets and building prototypes for tasks such as object classification, detection or segmentation is fun and highly relevant for many healthcare tasks. It is even more fun, if you do it with like-minded people and everyone can learn from each other. To get our hands on some exciting real-world datasets and to learn from the best we will rely on Kaggle.
Kaggle is an online community for data scientists and machine learning enthusiasts. Owned by Google LLC, Kaggle is a platform where users can find and publish datasets, exchange their insight, share code with others via so-called Kernels, and enter competitions to tackle real-world data science challenges. Currently, we are working on the Histopathologic Cancer Detection Challenge (https://www.kaggle.com/c/histopathologic-cancer-detection ).
##Disclaimer## You can join the group at any time. To join on Slack and GitHub please write an E-mail with your name and basic background to [masked] or [masked].
If you want to have a look at some examples and starting materials, you can find our GitHub repository at https://github.com/gomezzz/HealthHackersML
As head of this project group we would like to introduce Pablo, a ML
enthusiast and researcher at the University Hospital Erlangen (
https://pablo-gomez.net/ ). He brings the necessary know-how to get us
started and is excited to exchange experiences and start this new
environment, where we can test the capabilities of state-of-art machine
learning tools in an interdisciplinary and open setting.
Feel free to join us and spread the word! We are eager to hear your
ideas and collaborate!
Pablo & Chris