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Gaussian world
The probabilistic approach to machine learning, described in “Probabilistic Approaches to M...
確率・統計:Probability and Statistics
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Python and Machine Learning
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Python will be a general-purpose programming language with many e...
python Overview of Bayesian Multivariate Statistical Modeling and Examples of Algorithms and Implementations
Overview of Bayesian Multivariate Statistical Modeling
Bayesian multivariate statistical modeling is a met...
python Overview of Stochastic Gradient Langevin Dynamics (SGLD) and examples of algorithms and implementations
Stochastic Gradient Langevin Dynamics（SGLD）
Stochastic Gradient Langevin Dynamics (SGLD) is a stochastic optimi...
python KL divergence constraint
KL divergence constraint
The KL divergence (Kullback-Leibler Divergence) is an asymmetric measure of simil...
python Epistemic uncertainty and AI complementation
epistemic uncertainty
Epistemic Uncertainty refers to uncertainty arising from a lack or incompleteness of...
python Aleatory uncertainty and AI-based solutions
Aleatory Uncertainty
Aleatory Uncertainty will mainly refer to uncertainty caused by natural phenomena and...
python Philosophical perspectives on probability and AI solutions to uncertainty
Philosophical perspectives on probability
The concept of probability has different perspectives. The diffe...
python Overview of Stochastic Gradient Descent (SGD), its algorithms and examples of implementation
Overview of Stochastic Gradient Descent, SGD
Stochastic Gradient Descent (SGD) is one of the optimization algori...
python Overview of the Dirichlet Process Mixture Model (DPMM), its algorithm and examples of implementation
Dirichlet Process Mixture Model (DPMM) Overview
The Dirichlet Process Mixture Model (DPMM) is one of the v...