哲学:philosophy Special Lecture on “What is Philosophy Aimed at?” from “The Apologetics of Socrates
Summary
Philosophy can be defined as a means to pursue the essence and truth of things, to think deeply abo...
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哲学:philosophy アルゴリズム:Algorithms Protected: Explainable Machine Learning (17) Counterfactual Explanations
Explanation of machine learning results by counterfactual explanations utilized in digital transformation, artificial intelligence, and machine learning tasks Anchor, Growing Spheres algorithm, Python, Alibi, categorical features, Rashomon effect, LIME, fully coupled neural networks, counterfactual generation algorithms, Euclidean distance, central absolute deviation, Nelder-Mead method, causal semantics, causes
アルゴリズム:Algorithms Protected: Overview of Weaknesses and Countermeasures in Deep Reinforcement Learning and Two Approaches to Improve Environment Recognition
An overview of the weaknesses and countermeasures of deep reinforcement learning utilized in digital transformation, artificial intelligence, and machine learning tasks and two approaches of improving environmental awareness Mixture Density Network, RNN, Variational Auto Encoder, World Modles, Expression Learning, Strategy Network Compression, Model Free Learning, Sample-Based Planning Model, Dyna, Simulation-Based, Sample-Based, Gaussian Process, Neural Network, Transition Function, Reward Function) World Modles, Representation Learning, Strategy Network Compression, Model-Free Learning, Sample-Based Planning Model, Dyna, Simulation-Based, Sample-Based, Gaussian Process, Neural Network, Transition Function, Reward Function, Simulator , learning capability, transition capability
Clojure Protected: Regression analysis using Clojure (1) Single regression model
Regression analysis using Clojure for digital transformation, artificial intelligence, and machine learning tasks (1) Single regression model (coefficient of determination R2, correlation coefficient R, variance of residuals, variance, mean square error, explanatory variables, goodness of fit, linear regression model, dependent variable, independent variable, modeling error, heteroscedasticity, residual plot, regression line function, linear equation, regression model,incanter)
プログラミング言語:Programming Language Protected: Static type checking with mypy in Python
Static type checking with mypy in Pyhton as a base programming technology for digital transformation, artificial intelligence , and machine learning tasks Protocol, Class, inheritance relations, Structural subtyping, Nominal subtyping, type hinting, type checking, type annotation, dynamic typing language, static typing language, gradual typing
ICT技術:ICT Technology Overview of Terraform, the infrastructure management tool, Hello World and reference books
Overview of Terraform, an infrastructure management tool used for digital transformation, artificial intelligence , and machine learning tasks, and about Hello World and reference books AWS, Setup, Hello World, Cloud Infrastructure,Environment Settings
ICT技術:ICT Technology The “Kaisha Shikiho: Industry Map” source of information on issues in DX and an example of business analysis in the manufacturing industry.
A source of information on issues in DX used for digital transformation, artificial intelligence, and machine learning tasks "Company Quarterly: Industry Map" and examples of business analysis in the manufacturing industry prototyping, workflow analysis, business issue analysis, manufacturing, KPI, KGI, OKR, KJ method, Porter s Five Competitive Analysis, PEST method, SWOT analysis
python Artificial Intelligence Technologies Drawing Attention at Recent International Conferences
Artificial Intelligence techniques of interest in recent international conferences that are used in Digital Transformation, Artificial Intelligence and Machine Learning tasks Multimodal techniques, Federated Learning, Question and Answer Learning, Automated Machine Learning, AutoML, Few-Shot Learning, One-Shot Learning, Meta-Learning, Graph Neural Networks, GNN, Self-Supervised Learning, IJCAI, AAAI, TNNLS, CVPR, ACM SIGKDD, ICLR, NeurIPS, ICML
アルゴリズム:Algorithms Protected: Thompson Sampling, linear bandit problem on a logistic regression model
Thompson sampling, linear bandit problem on logistic regression models utilized in digital transformation, artificial intelligence, and machine learning tasks (Thompson sampling, maximum likelihood estimation, Laplace approximation, algorithms, Newton's method, negative log posterior probability, gradient vector, Hesse matrix, Laplace approximation, Bayesian statistics, generalized linear models, Lin-UCB measures, riglet upper bound)
アルゴリズム:Algorithms Protected: Sparse learning based on group L1 norm regularization
Sparse machine learning based on group L1-norm regularization for digital transformation, artificial intelligence, and machine learning tasks relative dual gap, dual problem, gradient descent, extended Lagrangian function, dual extended Lagrangian method, Hessian, L1-norm regularization, and group L1-norm regularization, dual norm, empirical error minimization problem, prox operator, Nesterov's acceleration method, proximity gradient method, iterative weighted reduction method, variational representation, nonzero group number, kernel weighted regularization term, concave conjugate, regenerative kernel Hilbert space, support vector machine, kernel weight Multi-kernel learning, basis kernel functions, EEG signals, MEG signals, voxels, electric dipoles, neurons, multi-task learning