確率・統計:Probability and Statistics

Protected: Analysis of Time Series Data (3) Analysis of Time Dependent Data and AR Model

Basic analysis of time series data used in digital transformation (DX), machine learning (ML), artificial intelligence (AI), and IOT, AR models, random walks, and white noise

2021.08.02

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Heuristics and Frame Problems

Heuristics and artificial intelligence frame problems at the base of human behavior.macro-economics

2021.07.31

推論技術:inference Technology確率・統計:Probability and Statistics課題解決:Problem solving

Protected: Analysis of time series data (2) Basics of statistical analysis

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2021.07.30

推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

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).

2021.07.24

機械学習:Machine Learning確率・統計:Probability and Statistics

Probabilistic approaches in machine learning

Probabilistic Generative Models Used in Digital Transformation (DX), Artificial Intelligence (AI), and Machine Learning (ML)

2021.07.22

ベイズ推定微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

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.

2021.06.05

数学:Mathematics確率・統計:Probability and Statistics

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

2021.05.29

機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Variational Bayesian Learning Introduction

Fundamentals of Variational Methods for Optimizing Bayesian Estimation in Machine Learning

2021.05.27

アルゴリズム:Algorithms機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Bayesian Deep Learning – Introduction

Overview of Bayesian deep models, an evolution of deep learning and probabilistic generative models.

2021.05.25

アルゴリズム:Algorithms機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics

Protected: Graphical Model Overview and Bayesian Network

Graphical model overview for efficient approach to stochastic generative models, Bayesian networks

2021.05.24

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing