U4S3.txt

# Unit 4 (Machine Learning)
#   Sprint 3 (Major Neural Network Architectures)
#	Mod1 - RNN & LSTM
#	Mod2 - CNN
#	Mod3 - AutoEncoding/Recommendation Systems

# no lecture Tue/Mod2 - watch DS16 recorded lecture

# consider 8 directions for autodidactification

1. SQL
	
2. db mgmt
	
3. flask
	
4. data structures
	
5. NLP	
	
6. CNN	
	
7. GAN	
	
8. stats
	
# Wed review - consider ways to augment prior projects
# 	create issue tickets for the project based on improvements to implement

1. EDA/viz project - peace and conflict research

2. differentiating galaxies from stars and quasars - how do we id QSOs?

3. null

4. tbd