最適化:Optimization

Protected: Hello World of Neural Networks, Implementation of Handwriting Recognition with MNIST Data

On the Implementation with python and Keras of HelloWorld and handwriting recognition of neural networks in machine learning using neural nets for digital transformation and artificial intelligence tasks.

2021.10.27

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

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.

2021.10.26

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

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.

2021.09.07

推論技術:inference Technology最適化:Optimization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

Protected: Clustering of symmetric relational data – Spectral clustering

Extraction of relationships, knowledge extraction and prediction, spectral clustering by machine learning for graph analysis, etc.

2021.05.28

最適化:Optimization検索技術:Search Technology機械学習:Machine Learning線形代数:Linear Algebra

Protected: Online Machine Learning Overview

Basics of online learning for sequential learning from a small number of supervised data

2021.05.26

アルゴリズム:Algorithms最適化:Optimization機械学習:Machine Learning

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

Protected: Graphical Models Overview and Markov Probability Fields

Graphical model overview for efficient approach to stochastic generative models, Markov stochastic processes

2021.05.23

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

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

2021.05.22

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics

Protected: Continuous Optimization in Machine Learning – Overview

Explanation of the mathematical theory underlying optimization algorithms for machine learning.

2021.05.21

最適化:Optimization機械学習:Machine Learning