Overview of reinforcement learning techniques and various implementations
Overview of Reinforcement Learning Technology
Reinforcement learning is a branch of machine learning in whi...
機械学習:Machine Learning
Overview of the dynamic factor model and its algorithm and implementation in python and R
Dynamic Factor Model
The Dynamic Factor Model (DFM) is one of the statistical models used in the analysi...
Overview of graph neural networks and examples of application and implementation in python
Graph Neural Networks
A graph neural network (GNN) is a type of neural network for data with a graph struc...
Overview of Bayesian Deep Learning and Examples of Applications and Implementations
Bayesian Deep Learning
Bayesian deep learning refers to an attempt to incorporate the principles of Bayesian ...
Overview of Causal Forest and examples of application and implementation in R and Python
Causal Forest
Causal Forest is a machine learning model for estimating causal effects from observed d...
Combination of simulation and machine learning and various implementation examples
About Simulation and Machine Learning
Simulation involves modeling a real-world system or process and ex...
Machine learning approaches with small data and various implementation examples
Machine Learning with Small Data
As described in "Challenges in Achieving 100% Reproducibility for Ri...
Overview of online learning and various algorithms, application examples and specific implementations
Online Learning
Online Learning is a method of learning by sequentially updating a model under conditions whe...
Overview of online forecasting technology and various applications and implementations
About Online Forecasting
Online Prediction (Online Prediction) is a method that uses models to make predictio...
Overview of the contextual bandit problem and examples of algorithms/implementations
What is Contextual bandit?
Contextual bandit is a type of reinforcement learning and a framework for solving...