https://github.com/kendricktan/non-overwhelming-machine-learning

A (non overwhelming) list of Machine Learning resources for beginners
https://github.com/kendricktan/non-overwhelming-machine-learning

Last synced: 15 days ago
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A (non overwhelming) list of Machine Learning resources for beginners

• Host: GitHub
• URL: https://github.com/kendricktan/non-overwhelming-machine-learning
• Owner: kendricktan
• Created: 2016-12-31T05:11:04.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2017-01-01T13:08:24.000Z (about 8 years ago)
• Last Synced: 2024-08-01T16:51:18.175Z (7 months ago)
• Size: 1000 Bytes
• Stars: 627
• Watchers: 22
• Forks: 35
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# non-overwhelming-machine-learning

A (non overwhelming) list of Machine Learning resources for beginners. 

So you decide to follow the herd? Complete the list in chronological order and you'll be able to understand machine-learning in no time.

*Less is more*

## Assumed Knowledge

### 1. [Probability](https://www.khanacademy.org/math/probability)

### 2. [Multivariable Calculus](https://www.khanacademy.org/math/calculus-home/multivariable-calculus)

### 3. [Optimization](https://www.khanacademy.org/math/calculus-home/derivative-applications-calc/optimization-calc/e/optimization)

## Getting your feet wet

### 1. [Intro to Machine Learning UD120](https://www.udacity.com/course/intro-to-machine-learning--ud120)

### 2. [Deep Learning @ Udacity](https://www.udacity.com/course/deep-learning--ud730)

### 3. [CS231n - Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)

### 4. [CS224d - Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/)