ROC is used to judging the performance of classifiers

Feature engineering is crucial to the performance of our mdoel.

Naive Bayes

Solving PDEs

A brief overview of machine learning

Some basic concepts about graph and traditional algorithms

Embedding methods in machine learning

identifying the data types and level of measurement is important in data science

Bayesian Linear Regression

Nonnegative Matrix Factorizatioin has a bright future

Single-layer neural network creates embedding space

A very very brief introduction to neural network for physicists

Workflow for data

In the industry, we spend a lot of time working on feature engineering.

A generalization of matrix factorization

Boltzmann machine is much like a spin glass model in physics. In short words, Boltzmann machine is a machine that has nodes that can take values, and the nodes are connected through some weight. It is just like any other neual nets but with complications and theoretical implications.

Measurements in machine learning