When I first read this paper, I found it to be immensely helpful. I'm new to Machine Learning but I was so inspired by this paper when I first found it that I wanted to build up resources around it.
I want this guide to be a good resource for other people like me, who are curious to get into Machine Learning by this process:
1) hacking
2) coming to understand what you hacked
3) more structured, in-depth learning
It can be intimidating to approach Machine Learning this way. For a long time it felt like I couldn't do steps 1 or 2... and had to start with 3. That's intimidating!
Pull requests welcome, I want this to be a good resource! Thanks all.
Well done - I'm sure this approach is helpful to many people who, like myself, learn best by using the process you summarised, so here's another compliment to the list :)
this is fantastic! I was looking for something like this to get started. Thank you so much for putting this together. I am taking some machine learning courses next semester and will use this to get familiar during the summer.
Here's the result: https://github.com/hangtwenty/dive-into-machine-learning
I want this guide to be a good resource for other people like me, who are curious to get into Machine Learning by this process:
1) hacking 2) coming to understand what you hacked 3) more structured, in-depth learning
It can be intimidating to approach Machine Learning this way. For a long time it felt like I couldn't do steps 1 or 2... and had to start with 3. That's intimidating!
Pull requests welcome, I want this to be a good resource! Thanks all.