Duke +DataScience is offering a virtual learning experience (vLE) that will show participants how to utilize Machine Learning techniques to participate in a Kaggle competition. The session will be lead by +DS and CCT team member, Akshay Bareja. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
This session is open to everyone interested, regardless of prior experience. Bareja states “this will be a live code-along, however participation is not necessary. Those who would just like to watch are equally welcome!”
Learn more about Kaggle here: https://www.kaggle.com/account/login?phase=startRegisterTab&returnUrl=%2F
How to participate in a Kaggle competition
Thursday, September 23rd | 4:00pm – 5:00pm
Hosted by Akshay Bareja D.Phil.
In this session, you will learn how to participate in a Kaggle competition. Kaggle is an online community of data scientists and machine learning practitioners that frequently holds public competitions.
To hone our deep learning skills, we will participate in an image classification competition called “Kannada MNIST”. The goal is to build a model that can accurately classify numbers written in Kannada, which is a South Indian language. This will be a live code-along in which we will build our model from scratch, however those who would just like to watch are equally welcome! While a basic familiarity with python and deep learning will be helpful, the only requirement for participation is a browser and a stable internet connection.
If you would like to learn more about this competition, please refer to – https://www.kaggle.com/c/Kannada-MNIST
And here’s a link to a wonderful introduction to deep learning – https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist#0