ML

オンライン学習

Protected: Implementation in online learning – sparse vector computation and averaging perceptron, averaged stochastic gradient descent, lazy update

Various implementation techniques for online learning for digital transformation , artificial intelligence and machine learning tasks (sparse vector computation and averaging perceptrons, averaged stochastic gradient descent, lazy update).
2022.01.05
オンライン学習最適化:Optimization
機械学習:Machine Learning

Machine Learning Prootional Series – Support Vector Machines Reading Notes

Reading notes for a reference book on support vector machines (SVMs), a supervised learning pattern recognition model used for classification and regression in digital transformation, artificial intelligence, and machine learning tasks.
2021.12.12
機械学習:Machine Learning
地理空間情報処理

Machine Learning Professional Series – Relational Data Learning Post-Reading Notes

Overview of relational data learning to extract the meaning and knowledge behind information used in digital transformation , artificial intelligence , and machine learning tasks.
2021.12.03
地理空間情報処理推論技術:inference Technology機械学習:Machine Learning画像認識技術自然言語処理:Natural Language Processing音声信号認識技術
C言語

Protected: Applications of Markov chain Monte Carlo methods (Bayesian inference)

Overview of the application of MCMC methods to Bayesian inference for digital transformation , artificial intelligence , and machine learning tasks, and description of various algorithms
2021.12.02
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
python

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
Clojure

Functional Programming (2) History

History of programming languages, functional languages starting with LISP, Clojure, Scala, IPL
2021.04.15
Clojureプログラミング言語:Programming Language
機械学習:Machine Learning

Protected: Bayesian Estimation and Information Theory

Bayesian estimation and information theory for artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), from de Moivre's probability theory to Bayesian probability and Shannon's information engineering and tools for Bayesian estimation (STAN)
2021.03.17
機械学習:Machine Learning確率・統計:Probability and Statistics
課題解決:Problem solving

Overview and practice of KPIs, KGIs and OKRs for problem analysis

Overview and practice of KPIs, KGIs and OKRs for problem analysis and problem solving for digital transformation, machine learning and artificial intelligence (top-down, bottom-up, POC, Fermi estimation, number of customer visits, number of articles sent, response from inquiries, number of new contacts, sales promotion implementation by stores, KRI, KSF, KFI)
2021.03.17
課題解決:Problem solving
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