Machine Learning

To make machine learning and understand machine learning

11 Unsupervised Learning

#PCA #SVM

10 Artificial Neural Networks

#Boltzmann Machine #Artifical Neural Networks
Artificial Neural Networks

9 Ensemble Methods

9 Tree-based Methods

#Decision tree #Random forest
Decision trees are a simple model for decision. Yet combined with other methods, decision trees can be quite powerful.

8 Bayesian Methods

#Bayesian #Machine Learning
Machine learning based on bayesian statistics

7 Embedding

#word2vec
Embedding was one of the first ideas on computers and it is still the key component of machine learning

6 Factorization

#Factorization
Factorization

5 Linear Models

#Linear Regression
Linear models are very useful for baseline models.

4 Machine Learning Performance

Benchmarking the performance of models

3 Feature Engineering

#Machine Learning #Data Types
In the industry, we spend a lot of time working on feature engineering.

2 Machine Learning Basics

#Basics #Statistics
Some basics of machine learning

1 Machine Learning Overview

#Statistical Learning #Machine Learning #Basics
A brief overview of machine learning