MLCC crash course sharing

1. MLCC #2
Ofa

2. SGD
• batch size
• SGD / mini-batch SGD / full batch

3. Datasets
• IID
• stationary distribution
• always pull from the same distribution

4. Feature
• Good feature
• show up with reasonable frequencies
• clear def & meaning //static def
• no magic value
• Feature engineering
• scaling
• outliers
• one-hot encoding
• know your data

5. Example - using keras to predict
TCM price from origin
Step1. import libraries

6. Example - using keras to predict
TCM price from origin
Step2. build dataset
data from origin data from store
standard data
training

7. Example - using keras to predict
TCM price from origin
Step3. run regression
Step4. save model and weights