最適化:Optimization

python

Protected: Introduction to deep learning with Python and Keras (1) Overview of how to use Keras

Overview of Keras, a Python platform for implementing deep learning for digital transformation and artificial intelligence task utilization.
2021.10.30
python微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
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: 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
ベイズ推定

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
最適化:Optimization

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
アルゴリズム:Algorithms

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
推論技術:inference Technology

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
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