machine learning

Protected: A concrete algorithm for Markov chain Monte Carlo: Metropolis method (1)Overview

Overview of the Metropolis method in MCMC methods used for probability integration and other aspects of machine learning for digital transformation and artificial intelligence tasks.

2021.11.25

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

Protected: On probability, expectation and Monte Carlo methods

Explanation of the Monte Carlo method, which is the basis of the Markov Chain Monte Carlo (MCMC) method used in integral calculations for machine learning used in digital transformation and artificial intelligence tasks.

2021.11.22

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

This is a good introduction to deep learning (Machine Learning Startup Series)Reading Notes

Overview of deep learning for digital transformation and artificial intelligence tasks, including machine learning, gradient descent, regularization, error back propagation, self-encoders, convolutional neural networks, recurrent neural networks, Boltzmann machines, and reinforcement learning.

2021.11.15

微分積分:Calculus数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

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: Statistics as a post-modern science

Mathematical statistics and probabilistic statistical methods used in digital transformation and artificial intelligence tasks, and considerations for inference and machine learning

2021.10.25

推論技術:inference Technology数理論理学:Mathematical logic機械学習:Machine Learning確率・統計:Probability and Statistics

Introduction to Optimization Problems Combining Cone Optimization, Integer Optimization, and Network Models Problem Solving with Python Series

Overview of optimization techniques in machine learning using python for digital transformation (DX) and artificial intelligence (AI) tasks.

2021.10.24

python微分積分:Calculus推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Machine learning with python

A reference book that explains the theory and characteristics of machine learning used in digital transformation and artificial intelligence tasks, and its implementation using python.

2021.10.24

pythonアルゴリズム:Algorithms機械学習:Machine Learning

Reference books on Clojure (general)

Reference books on Clojure (microservices, reactive programming, etc.) for building artificial intelligence and machine learning to be used for digital transformation and artificial intelligence (AI) tasks.

2021.10.10

ClojureICT技術:ICT Technology

Python and Machine Learning

Overview of Python, a programming language used in digital transformation , artificial intelligence , and machine learning

2021.09.23

pythonプログラミング言語:Programming Language機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing