python History of AI and Deep Learning
Basic definitions of artificial intelligence, machine learning, and deep learning used in digital transformation and artificial intelligence tasks, and characteristics of deep learning.
最適化:Optimization
python 推論技術:inference Technology Protected: What is MCMC (Overview)
Markov Chain Monte Carlo (MCMC), a key tool in Bayesian inference for artificial intelligence (AI) tasks, digital transformation (DX), natural language processing, etc.
ベイズ推定 Probabilistic approaches in machine learning
Probabilistic Generative Models Used in Digital Transformation (DX), Artificial Intelligence (AI), and Machine Learning (ML)
最適化:Optimization Protected: Clustering of symmetric relational data – Spectral clustering
Extraction of relationships, knowledge extraction and prediction, spectral clustering by machine learning for graph analysis, etc.
アルゴリズム:Algorithms Protected: Online Machine Learning Overview
Basics of online learning for sequential learning from a small number of supervised data
推論技術:inference Technology Protected: Graphical Model Overview and Bayesian Network
Graphical model overview for efficient approach to stochastic generative models, Bayesian networks
推論技術:inference Technology Protected: Graphical Models Overview and Markov Probability Fields
Graphical model overview for efficient approach to stochastic generative models, Markov stochastic processes
推論技術:inference Technology Protected: An overview of the expert integration problem in online forecasting and its implementation in Regret
Overview of online predictive learning for solving sequential prediction problems, introduction to Regret
最適化:Optimization Protected: Continuous Optimization in Machine Learning – Overview
Explanation of the mathematical theory underlying optimization algorithms for machine learning.
アルゴリズム:Algorithms Protected: Reinforcement Learning Overview
An overview of reinforcement learning for learning sequential decision rules