# Machine Learning
###### tags: `Machine Learning-Note` `ML Tutorial`
## Content
[TOC]

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### Theory
#### Neural Networks

##### [1. Basic Neural Network and Introduction to RNN](https://hackmd.io/@j-chen/HJQBBQrDv)

##### [2. LSTM Overview](https://hackmd.io/@Derni/B1QyD4jXX)

##### [2a. Mathematical Explanation of LSTM](https://hackmd.io/@j-chen/r12pHQSww)
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### Implementation
#### Machine Learning Process
1. Data collection
2. [Data preprocessing]()
3. [Data Analysis]()
4. Feature selection/engineering
5. Model Training
6. Model Evaluation

#### Tools
There are several tools you can use for developing machine learning models

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##### [1. Keras](https://hackmd.io/@Derni/rkdRZ8l8D)

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##### [2. Basic Concept of Tensorflow](https://hackmd.io/@j-chen/B1GPs7SwP)

##### [2a. TF 2.0/Keras Implementation (still under construction)](https://hackmd.io/@j-chen/rJcDAmBDD)
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