推論技術:inference Technology Heuristics and Frame Problems
Heuristics and artificial intelligence frame problems at the base of human behavior.macro-economics
確率・統計:Probability and Statistics
推論技術:inference Technology 推論技術:inference Technology Protected: Analysis of time series data (2) Basics of statistical analysis
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機械学習:Machine Learning Protected: Analysis of Time Series Data (1) Introduction
Overview of time series data analysis methods based on probability models used in digital trasformation (DX), artificial intelligence (AI), and machine learning (ML).
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)
数学:Mathematics Decision Theory and Mathematical Decision Making Techniques
We will discuss mathematical decision-making techniques used in reinforcement learning, online prediction, and algorithms for high-speed automated stock trading. After describing the four decision strategies, I will introduce subjective probability, Bayesian theory, multiple concept theory, and supply rise theory.
機械学習:Machine Learning Protected: Clustering Techniques for Asymmetric Relational Data – Probabilistic Block Model and Infinite Relational Model
Machine Learning Extraction of Relationships, Probabilistic Block Model and Infinite Relation Model
アルゴリズム:Algorithms Protected: Variational Bayesian Learning Introduction
Fundamentals of Variational Methods for Optimizing Bayesian Estimation in Machine Learning
アルゴリズム:Algorithms Protected: Bayesian Deep Learning – Introduction
Overview of Bayesian deep models, an evolution of deep learning and probabilistic generative models.
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