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https://github.com/mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
https://github.com/mrdbourke/machine-learning-roadmap
data data-science deep-learning machine-learning
Last synced: 26 days ago
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A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
- Host: GitHub
- URL: https://github.com/mrdbourke/machine-learning-roadmap
- Owner: mrdbourke
- License: mit
- Created: 2020-07-09T07:07:47.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T22:38:52.000Z (almost 2 years ago)
- Last Synced: 2024-10-01T13:04:48.726Z (about 1 month ago)
- Topics: data, data-science, deep-learning, machine-learning
- Homepage:
- Size: 24.8 MB
- Stars: 7,498
- Watchers: 356
- Forks: 1,169
- Open Issues: 12
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 2020 Machine Learning Roadmap (still 90% valid for 2023)
![2020 machine learning roadmap overview](https://raw.githubusercontent.com/mrdbourke/machine-learning-roadmap/master/2020-ml-roadmap-overview.png?token=AD7ZOCOIG7IZXHDL63W6RZK7A3B6I)
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:
1. 🤔 **Machine Learning Problems** - what does a machine learning problem look like?
2. ♻️ **Machine Learning Process** - once you’ve found a problem, what steps might you take to solve it?
3. 🛠 **Machine Learning Tools** - what should you use to build your solution?
4. 🧮 **Machine Learning Mathematics** - what exactly is happening under the hood of all the machine learning code you're writing?
5. 📚 **Machine Learning Resources** - okay, this is cool, how can I learn all of this?See the [full interactive version](https://dbourke.link/mlmap).
[Watch a feature-length film video walkthrough](https://youtu.be/pHiMN_gy9mk) (yes, really, it's longer than most movies).
Many of the materials in this roadmap were inspired by [Daniel Formoso](https://github.com/dformoso)'s [machine learning mindmaps](https://github.com/dformoso/machine-learning-mindmap),so if you enjoyed this one, go and check out his. He also has a mindmap specifically for [deep learning](https://github.com/dformoso/deeplearning-mindmap) too.