数学:Mathematics

Protected: Topic models that capture the individuality of language

Topic models to capture latent meanings behind sentences, differences between various probabilistic approaches and deep learning, supervised LDA, Boltzmann machines,Naive Bayes

2021.08.26

機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

Introduction to models of language (probabilistic unigram models and Bayesian probability)

Natural language processing as it applies to digital transformation (DX), artificial intelligence (AI), machine learning, etc. Modeling of natural language, application of unigram models and Bayesian probabilistic models.

2021.08.25

確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

Protected: Analysis of Time Series Data (4) ARCH Model and GARCH Model

Basic analysis of time series data used in digital transformation (DX), machine learning (ML), artificial intelligence (AI), and IOT, and ARCH and GARCH models

2021.08.03

IOT技術:IOT TechnologyStream Data Processing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 (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

Mathematics in Machine Learning

On the mathematics underlying all computer programming and algorithms, including digital transformation (DX), artificial intelligence (AI), and machine learning (ML)

2021.07.21

Symbolic Logicアルゴリズム:Algorithms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.

2021.06.05

数学:Mathematics確率・統計:Probability and Statistics