How-to-learn-Deep-Learning
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How-to-learn-Deep-Learning

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A top-down, practical guide to learn AI, Deep learning and Machine Learning.

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## Approach
A practical, top-down approach, starting with high-level frameworks with a focus on Deep Learning.

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**UPDATED VERSION:** 👉 Check out my 60-page guide, [No ML Degree](https://www.emilwallner.com/p/no-ml-degree), on how to land a machine learning job without a degree.

## Getting started [2 months]

There are three main goals to get up to speed with deep learning: 
1) Get familiar to the tools you will be working with, e.g. Python, the command line and Jupyter notebooks
2) Get used to the workflow, everything from finding the data to deploying a trained model
3) Building a deep learning mindset, an intuition for how deep learning models behave and how to improve them

- Spend a week on codecademy.com and learn the python syntax, command line and git. If you don't have any previous programming experience, it's good to spend a few months learning how to program. Otherwise, it's easy to become overwhelmed. 
- Spend one to two weeks using [Pandas](https://www.youtube.com/wa

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