Status Updates From Machine Learning

Three important considerations.
-Lots of data does not mean we have appropriate data. This data should contain information about the variable we want to predict.
- The learning algo. must be efficient. It actually about the max performance with min computational power. Sometimes it's important to have light-weighted models.
- The data we used to train a model must be up to date, in some cases the data changing.

Pattern Rec.
I know that before, the book goes with the real basics of machine learning. Since I know these topics before it is kinda boring, and does not meet with my expectations.

He discussing some of the topic in ai