線形代数:Linear Algebra

アルゴリズム:Algorithms

Dream of a realistic SimCity

Integration of simulation and machine learning technologies used for digital transformation, artificial intelligence, and machine learning tasks; application of SimCity to the real world using emulation and machine learning
IOT技術:IOT Technology

Shaky Proteins and Old Me: Data Science in the Age of Misfolding

Integration of simulation and machine learning technologies used in digital transformation, artificial intelligence and machine learningtasks; application of simulation and machine learning PCA, RMA, canonical correlation analysis, independent component analysis, Bayesian inference, hidden Markov models) to protein functional analysis (misfolding, etc.
IOT技術:IOT Technology

Weather Forecasting and Data Science

Weather forecasting and data assimilation for simulation and data science integration for digital transformation, artificial intelligence, and machine learning task utilization
Stream Data Processing

Protected: Simulation, Data Assimilation, and Emulation

Fusion of extrapolation (deduction) estimation using simulation and interpolation (induction) estimation using machine learning (simulation assimilation and emulation using DNN, etc.) for digital transformation, artificial intelligence and machine learning tasks
アルゴリズム:Algorithms

Encryption and security technologies and data compression techniques

Encryption, Security and Data Compression Technologies for Digital Transformation (DX) and Artificial Intelligence (AI) Tasks
Stream Data Processing

Protected: Time Series Data Analysis (1) – State Space Model

Overview of various state-space models linear and Gaussian state-space models, AR models, autoregressive and moving average ARMA models, component decomposition models, and time-varying coefficient models) for time series data analysis used in digital transformation, artificial intelligence, and machine learning tasks
グラフ理論

Structural Learning

  About Structural Learning Learning the structure that data has is important for interpreting what the data is a...
微分積分:Calculus

Machine Learning Professional Series “Continuous Optimization for Machine Learning” Reading Memo

Summary Continuous optimization in machine learning is a method for solving optimization problems in which varia...
オンライン学習

Protected: Fundamentals of Online Learning Stochastic Gradient Descent – Application to Perceptron, SVM, and Logistic Regression

Online learning applications to the perceptron, SVM, and logistic regression for digital transformation , artificial intelligence , and machine learning tasks.
微分積分:Calculus

Machine Learning Professional Series: Topic Models Post-Reading Notes

Topic models using probability generation models to extract sentence topics to be used in digital transformation (DX) and artificial intelligence (AI) tasks.
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