Kylie is writing about Javascript, GraphQl, open source, and more.


Machine learning is everywhere, but how easy is it to get started? Could your small project benefit from some simple ML? In this talk, we will cover the very basics of artificial intelligence, as well as learn a Python-free approach to big data, basic algorithms, and how easy all of this is to implement in your average shopping cart with a single Node.js file.

## Projects

Although these projects also exist in the `demos/` dir at the root of this repository, you can follow their progress in their respective repositories:

1. Demo 1: [personal-parody-bot](https://github.com/kale-stew/personal-parody-bot)

2. Demo 2: [finish-my-thought-bot](https://github.com/kale-stew/finish-my-thought-bot)

3. Demo 3: [smart-shopping-cart](https://github.com/kale-stew/smart-shopping-cart)

### Further Reading

- [Machine Learning for Web Developers](https://www.robinwieruch.de/machine-learning-javascript-web-developers/) by Robin Wieruch
- [Machine Learning in Other Languages](http://burakkanber.com/blog/machine-learning-in-other-languages-introduction/) by Burak Kanber
- [A Beginner's Guide to Deep Reinforcement Learning](https://deeplearning4j.org/deepreinforcementlearning)

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## Seen At

**js.la** on June 28th, 2018

### Slides

→ [📺 Live view](https://kale-stew.github.io/ml-on-the-cl)

→ [📑 Exported PDF](https://github.com/kale-stew/ml-on-the-cl/blob/master/final.pdf)


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