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