A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Namely:
- ๐ค Machine Learning Problems - what does a machine learning problem look like?
- โป๏ธ Machine Learning Process - once youโve found a problem, what steps might you take to solve it?
- ๐ Machine Learning Tools - what should you use to build your solution?
- ๐งฎ Machine Learning Mathematics - what exactly is happening under the hood of all the machine learning code you're writing?
- ๐ Machines Learning Resources - okay, this is cool, how can I learn all of this?
See the full interactive version.