#금융공학 #싸이지먼트 #FinAlgML #AiFinance

https://www.facebook.com/events/1769174566635353/

### 내용 : 
(Quantopian) Basic and Backtesting 
(모두Deep) 개요 및 Regression 
(특강) Machine Learning for Trading - project review 1


### 교재 : Quantopian 
- Tutorial and Best Algo review
https://www.quantopian.com/lectures 
http://blog.quantopian.com/fundamentals-contest-winners/

### 교재 : Deep Learning 
- (모두Deep) 모두를 위한 머신러닝/딥러닝 : http://hunkim.github.io/ml/
- (QLearning) Q-learning with Neural Networks : http://outlace.com/Reinforcement-Learning-Part-3/
- First Contact With Tensorflow : http://www.jorditorres.org/first-contact-with-tensorflow/

### 교재 : Python Finance and Machine Learning 
- Python Machine Learning : https://github.com/rasbt/python-machine-learning-book
- Mastering Python for Finance : https://github.com/jamesmawm/Mastering-Python-for-Finance-source-codes

### 특강 
* 특강(MLT : UDACITY - Machine Learning for Trading) - project review 
- https://www.udacity.com/course/machine-learning-for-trading--ud501
- http://quantsoftware.gatech.edu/Machine_Learning_for_Trading_Course"

*특강(Deep Learning-TensorFlow, Udacity) - Code review
- https://www.udacity.com/course/deep-learning--ud730

*특강 (FTS) 
- Analysis of Financial Time Series
- http://as.wiley.com/WileyCDA/WileyTitle/productCd-EHEP002380.html