Overview of statistical learning theory (explanation without mathematical formulas)
On the theory of statistical properties of machine learning algorithms
The theory of the statistical properties...
線形代数:Linear Algebra
Overview of generalized linear models and their implementation in various languages
Generalized Linear Model Overview
The Generalized Linear Model (GLM) is a statistical modeling and machin...
Overview of Multitask Learning and Examples of Applications and Implementations
Overview of Multitasking Learning
Multi-Task Learning (Multi-Task Learning) is a machine learning techn...
Overview of the Bandit Problem and Examples of Application and Implementation
Overview of the Bandit Problem
The Bandit problem is a type of reinforcement learning in which a decision-ma...
About ATTENTION in Deep Learning
About "Attention Is All You Need"
"Attention Is All You Need" will be the paper that proposed a neural netwo...
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 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...
Overview of mixed integer optimization and its algorithm and implementation in python
Mixed-Integer Optimization
Mixed integer optimization is a type of mathematical optimization and refers...
Challenges and implementation of achieving 100% reproducibility for risk task response
What is a 100% Recall in machine learning?
In machine learning tasks, recall is the main metric used fo...
Overview and how to create a speech recognition system
Overview of Speech Recognition Systems
A speech recognition system (Speech Recognition System) is a technolo...