機械学習:Machine Learning Linear Algebra Overview and Library and Reference Books
Linear Algebra and Machine Learning
Linear algebra is a field of mathematics that uses vectors and matrices to...
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機械学習:Machine Learning アルゴリズム:Algorithms Protected: Optimization for the main problem in machine learning
Optimization for main problems in machine learning used in digital transformation, artificial intelligence, and machine learning tasks (barrier function method, penalty function method, globally optimal solution, eigenvalues of Hesse matrix, feasible region, unconstrained optimization problem, linear search, Lagrange multipliers for optimality conditions, integration points, effective constraint method)
アルゴリズム:Algorithms Protected: Applied Bayesian inference in non-negative matrix factorization: model construction and inference
Non-negative matrix factorization as a construction and inference of applied Bayesian inference models used in digital transformation, artificial intelligence, and machine learning tasks Poisson distribution, latent variable, gamma distribution, approximate posterior distribution, variational inference, spectogram of organ performance data, missing value interpolation, restoration of high frequency components, super-resolution, graphical models, hyperparameters, modeling, auxiliary variables, linear dimensionality reduction, recommendation algorithms, speech data, Fast Fourier Transform, natural language processing
仏教:Buddhism On the Road: A Stroll through Kyoto’s Famous Temples and Daitokuji Temple – Dada, Zen, and a Rest
Ryotaro Shiba's Stroll along the Road to Kyoto's Famous Temples and Daitokuji Temple: Dada, Zen, and Ikkyu Shoenan, Fudemo Daiyokai, Noh, Kinshun Zenchiku, Zeami, Tea Ceremony, Shiho, Murata Shuko, Rohan, Kaso Sogun, James Joyce, Marcel Duchamp, Dadaism, Takahashi Shinkichi, Rinzai Zen, Baojyubashi, Tsutenkyo, Gagunbashi, Tofukuji, Tenryuji, Nanzenji, Kenninji, Eisai, Shino
哲学:philosophy Protected: From the Special Lecture “Socrates’ Defense,” “Starting Points in Philosophy.”
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Uncategorized Protected: Explainable Machine Learning (18)Adversarial Examples
Explainable Machine Learning with Adversarial Sample Approach utilized for Digital Transformation, Artificial Intelligence, and Machine Learning tasks Cyber Security, Surrogate Models, Neural Networks, Black Box Attack, Expectation Over Transformation algorithm, EOT, InceptionV3, TensorFlow, Fast gradient method, VGG16 classifier, ImageNet, adversarial patch, 1-pixel attack, L-BFGS method, Fast gradient sign method
アルゴリズム:Algorithms Protected: Implementation of two approaches to improve environmental awareness, a weak point of deep reinforcement learning.
Implementation of two approaches to improve environment awareness, a weakness of deep reinforcement learning used in digital transformation, artificial intelligence, and machine learning tasks (inverse predictive, constrained, representation learning, imitation learning, reconstruction, predictive, WorldModels, transition function, reward function Weaknesses of representation learning, VAE, Vision Model, RNN, Memory RNN, Monte Carlo methods, TD Search, Monte Carlo Tree Search, Model-based learning, Dyna, Deep Reinforcement Learning)
アルゴリズム:Algorithms Protected: Regression analysis using Clojure (2) Multiple regression model
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Clojure Overview of web crawling technologies and implementation in Python/Clojure
Overview of web crawling technologies used for digital transformation, artificial intelligence and machine learning tasks and their implementation in Python/Clojure jsoup, clj-http, enlive, clojure.data.json, HTML, CSS jsoup, HTML, CSS, XPATH, JSON, BeautifulSoup, Scrapy, data extraction, natural language processing, databases, search, SNS analysis
ICT技術:ICT Technology Overview of Kubernetes, environment setup, and reference books
Overview and configuration of Kubernetes used for digital transformation, artificial intelligence and machine learning tasks, reference books (Microservices, Spinnaker, Blue, Containers, Cloud Natives, Skaffold, Clair, Security, BuildKit, Kaniko, Operator, Helm, Chart, Sock Shop, YAML, Prometheus, Grafana, Pod, Minikube)