確率・統計:Probability and Statistics

アルゴリズム:Algorithms

Overview of Group Regularization with Duplicates and Examples of Implementations

Overview Overlapping group regularization (Overlapping Group Lasso) is a type of regularization method...
python

Overview of cross-entropy and related algorithms and implementation examples

Overview of cross-entropy Cross Entropy is a concept commonly used in information theory and machine learning ...
python

Overview of the policy gradient method and examples of algorithms and implementations

  Policy Gradient Methods Policy Gradient Methods are a type of reinforcement learning that focuses specifica...
python

Overview of softmax functions and related algorithms and implementation examples

Overview of Softmax Functions A softmax function is a function used to convert a vector of real numbers in...
python

Overview of Dirichlet distribution and related algorithms and implementation examples

Overview of Dirichlet distribution The Dirichlet distribution (Dirichlet distribution) is a type of multiv...
python

Overview of Gelman-Rubin Statistics and Related Algorithms and Examples of Implementations

Overview of Gelman-Rubin Statistics The Gelman-Rubin statistic (or Gelman-Rubin diagnostic, Gelman-Rubin statis...
幾何学:Geometry

Cross-Entropy Loss

Overview of  Cross-Entropy Loss Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...
python

Overview of Q-Learning and Examples of Algorithms and Implementations

  Q-Learning Q-Learning (Q-Learning) is a type of reinforcement learning, an algorithm that allows an agent t...
アルゴリズム:Algorithms

Protected: Model Building and Inference in Bayesian Inference – Overview and Models of Hidden Markov Models

Model building and inference of Bayesian inference for digital transformation, artificial intelligence, and machine learning tasks - Overview of hidden Markov models and models eigenvalues, hyperparameters, conjugate prior, gamma prior, sequence analysis, gamma distribution, Poisson distribution, mixture models graphical model, simultaneous distribution, transition probability matrix, latent variable, categorical distribution, Dirichlet distribution, state transition diagram, Markov chain, initial probability, state series, sensor data, network logs, speech recognition, natural language processing
アルゴリズム:Algorithms

Protected: Neural Networks as Applied Models of Bayesian Inference

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