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Theory and algorithms of various reinforcement learning techniques and their implementation in python

Theory and algorithms of various reinforcement learning techniques used for digital transformation, artificial intelligence, and machine learning tasks and their implementation in python reinforcement learning,online learning,online prediction,deep learning,python,algorithm,theory,implementation

2023.02.05

アルゴリズム:Algorithmsオンライン学習グラフ理論スパースモデリング幾何学:Geometry強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

About Machine Learning Technology

Machine learning techniques used for digital transformation (DX) and artificial intelligence (AI) tasks

2023.02.05

ICT技術:ICT Technology人工知能:Artificial Intelligence数学:Mathematics

Data types and statically and dynamically typed languages in programming

Types of data and statically typed languages and dynamically typed languages (primitive types, heap, Ruby, Python, C#, C++, Java, classes, objects, alias problems, garbage collection, Rust, Borrow checkers, stacks, global variables, value types, reference types, complex types, enumeration types) in programming used for digital transformation, artificial intelligence, machine learning.

2023.02.04

プログラミング言語:Programming Language

Protected: Living Like Water: The Idea of Lao Tzu’s Thought The World of Being, Nothingness, and Infinity

Living Like Water: The Idea of Lao Tzu's Thought The World of With, Without, and Infinite (Taishang Laojun, Moral Tianzun, Taoism, Confucianism, Confucius, Governing Theory, Rei, Dao, Self-improvement, Class System, Status System, Feudal System, Antithesis, Jin, Yi, Morality, Book of Seclusion, Seclusion for the Weak, Passive Living, Do Nothing, Yin Yang Qi, Virtue, All Things Generated)

2023.02.03

中国古典:classics仏教:Buddhism哲学:philosophy禅:Zen

Protected: Explainable Artificial Intelligence (11) Model-Independent Interpretation (Permutation Feature Importance)

Permutation Feature Importance is one of the posterior interpretation models that can be used to explain digital transformation (DX), artificial intelligence (AI), and machine learning (ML).

2023.02.03

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Applying Neural Networks to Reinforcement Learning Deep Q-Network Applying Deep Learning to Value Assessment

Application of Neural Networks to Reinforcement Learning for Digital Transformation, Artificial Intelligence, and Machine Learning tasks Deep Q-Network Prioritized Replay, Multi-step applying deep learning to value assessment Deep Q-Network applying deep learning to value assessment (Prioritized Replay, Multi-step Learning, Distibutional RL, Noisy Nets, Double DQN, Dueling Network, Rainbow, GPU, Epsilon-Greedy method, Optimizer, Reward Clipping, Fixed Target Q-Network, Experience Replay, Average Experience Replay, Mean Square Error, Mean Squared Error, TD Error, PyGame Learning Enviroment, PLE, OpenAI Gym, CNN

2023.02.02

pythonアルゴリズム:Algorithmsグラフ理論スパースモデリング幾何学:Geometry強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory

Protected: Network analysis in GraphX Pregel using Clojure

Network analysis in GraphX Pregel using Clojure for digital transformation, artificial intelligence, and machine learning tasks (label propagation, twitter data, community analysis, graph structure analysis, community size, community detection, algorithms, maximum connected components, triangle counting, glittering, Google, Koenigsberg bridge, Euler path)

2023.02.01

Clojureグラフ理論微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

AWS Cloud Service Design Patterns (2)

AWS Cloud Service Design Patterns used for Digital Transformation, Artificial Intelligence and Machine Learning tasks (Data Upload Patterns, Write Proxy, Storage Index, Direct Object Upload, Relational Database Patterns, DB Replication, Read Replica, Inmemory DB Cache, Sharing Write, Asynchronous Processing, Batch Processing Patterns, Queuing Chain, Priority Queue, Job Observer, Fanout)

2023.01.31

アーキテクチャコンピューター

Protected: An example of machine learning by Bayesian inference: inference by Gibbs sampling of a Poisson mixture model

Examples of machine learning with Bayesian inference utilized for digital transformation, artificial intelligence, and machine learning tasks: inference by Gibbs sampling of Poisson mixed models (algorithm, sampling of unobserved variables, Dirichlet distribution, gamma distribution, conditional distribution, categorical distribution, posterior distribution, simultaneous distribution, superparameter, knowledge model, latent variable) categorical distribution, posterior distribution, simultaneous distribution, hyperparameters, knowledge models, data generating processes, latent variables)

2023.01.30

アルゴリズム:Algorithmsグラフ理論ベイズ推定幾何学:Geometry微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Ryotaro Shiba, Shotaro Ikenami and historical novels

Ryotaro Shiba, Shotaro Ikenami and historical novels (Ryosuke Kakine, Muromachi Muyori, Yoshinobu Kadoi, Ieyasu: Building Edo, Yuichi Shimpo, Shin Keian Taiheiki, Kokugoro Castle, Sho no Shield, Honobu Yonezawa, Shogo Imamura, 166th Naoki Prize, authentic mystery novel, Musashi Miyamoto, Eiji Yoshikawa, Kageyama Nakazato, Daibosatsu Pass, Onihei Hankacho, Sword for Swords, Umeyasu Fujie the Trap Man, Owl Castle, Cloud over the Hill, Ryoma Goes, Burning Sword, Kaido Yuku, Mountain Pass, 100th Birthday Anniversary)

2023.01.29

旅歴史読書