To make machine learning and understand machine learning
Artificial Neural Networks
Decision trees are a simple model for decision. Yet combined with other methods, decision trees can be quite powerful.
Machine learning based on bayesian statistics
Embedding was one of the first ideas on computers and it is still the key component of machine learning
Linear models are very useful for baseline models.
Benchmarking the performance of models
In the industry, we spend a lot of time working on feature engineering.
Some basics of machine learning
A brief overview of machine learning