Read this document. No really. If youaergaerg're unsure about something, or have any questions, or even if you just want to say hi please join our Bath ML Slack channel. Should you not wish to speak publicly feel free to PM @kinbiko.
Our Slack server can be found here. Slack is a instant messaging tool for teams - which also persists messages, meaning you don't have to be logged in constantly to be a part of our chat. Our Slack channels is gradually growing, and we're seeing many great contributions and suggestions. It really is THE place to get to know the community.
Presumably, you are now reading this file on https://github.com/Bath-ML/learning-resources. GitHub is a webservice dedicated to hosting Git repositories - usually source code and resources used by development teams. If you are completely new to Git have a look at this link for a quick basic tutorial on how to get started. Once you're comfortable, have a look at the Bath-ML Organisation's public repositories and see if there's anything there that you want to contribute to. If you have any suggestions to projects contact us on Slack!
Kaggle is a platform for data science competitions. Kaggle is a great site for finding problems to solve, datasets and viewing other people's code and solutions to problems for the sake of learning.
The following blogs are written by members of our community. If you'd like to have your blog posted here either raise a pull request or check out the #community-blogs channel on Slack.
- FishEyeView by Azahar Machwe
- An easy introduction to machine learning
- TechCrunch article: WTF is Machine Learning?
- Coursera: Learn Machine Learning from Stanford Professor Andrew Ng
- Coursera: Introduction to Machine Learning
- Coursera: Learn Neural Networks for Machine Learning
- A great starting point for anyone venturing into Deep Learning
- CRISP - Cross Industry Standard Process for Data Mining
- TensorFlow tutorials