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 # 2020 Machine Learning Roadmap
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+![2020 machine learning roadmap overview](https://raw.githubusercontent.com/mrdbourke/machine-learning-roadmap/master/2020-ml-roadmap-overview.png?token=AD7ZOCOIG7IZXHDL63W6RZK7A3B6I)
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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.
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+Namely:
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+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. 📚 **Machines Learning Resources** - okay, this is cool, how can I learn all of this?
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+See the [full interactive version](https://dbourke.link/mlmap).