DX

python

Protected: Mathematical elements in neural networks (2) Stochastic gradient descent method and error back propagation method

Mathematical description of stochastic gradient descent and error back propagation methods for implementing neural networks used in digital transformation and artificial intelligence tasks.
2021.10.29
python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
python

Protected: Mathematical Elements in Neural Networks(1) – Manipulating Tensors with numpy, etc.

Mathematical aspects of tensor manipulation using Numpy and others as a basis for performing deep learning used in digital transformation and artificial intelligence tasks.
2021.10.28
python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
python

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
python

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
推論技術:inference Technology

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
python

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
python

An introduction to statistical modeling through Python implementation

An overview of machine learning theory using probability for digital transformation and artificial intelligence tasks and its implementation using python
2021.10.24
python推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics
python

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
推論技術:inference Technology

Protected: Model the living word(Probabilistic Modeling of Natural Language)

Probabilistic models of natural language (Hierarchical Bayes, Topic Models, LDA) for artificial intelligence (AI), natural language processing, and digital transformation (DX)
2021.10.24
推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics
推論技術:inference Technology

Protected: From Global Models to Local Models State Space Models and Simulation

Simulation interpretation using general state space models and particle filters, one of the probability generation models used in digital transformation and artificial intelligence tasks.
2021.10.23
推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics
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