アルゴリズム:Algorithms Time series analysis using Prophet
Prophet Overview
Prophet is a time-series forecasting tool developed by Facebook that will be able to...
2023-05
アルゴリズム:Algorithms Uncategorized What is a function – its history, programming and machine learning
About Functions
A function will generally be mathematically defined as a rule that assigns to each element in ...
アルゴリズム:Algorithms Protected: Hidden Markov model building and fully decomposed variational inference in Bayesian inference
Hidden Markov model building and fully decomposed variational inference (approximate posterior distribution, categorical distribution, Dirichlet distribution, expectation calculation, transition probability matrix, Poisson mixture model, variational inference) in Bayesian inference for digital transformation, artificial intelligence, machine learning tasks.
テクノロジー:Technology Technology Discussion – A look at some of the latest technologies
Technology Discussion - A look at some of the latest technologies
This section discusses various topics ...
旅 On the road, Hongo neighborhood
Summary
Travel is an act for human beings to visit new places and experience different cultures and histories. T...
アート:Art Read the classics again
The Significance of Rereading the Classics
The term "classic" refers to a work in a field of literature, thought,...
哲学:philosophy Protected: Special Lecture, “The Significance of Dialogue,” from “Socrates in Defense.”
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アルゴリズム:Algorithms Protected: Explainable Machine Learning (19)prototype and criticism
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アルゴリズム:Algorithms Protected: Research Trends in Deep Reinforcement Learning: Meta-Learning and Transfer Learning, Intrinsic Motivation and Curriculum Learning
Research trends in deep reinforcement learning for digital transformation, artificial intelligence, and machine learning tasks: meta-learning and transfer learning, intrinsic motivation and curriculum learning automatic curriculum generation, automatic task decomposition, task difficulty adjustment, intrinsic reward, robot domain transformation, robot domain transformation, simulator to simulator transfer learning, BERT, Metric/Representation Base, Memory/Knowledge Base, active learning, meta-learning, and robot domain transformation) Robot domain transformation, transfer learning from simulators, BERT, Model-Agnostic Meta-Learning, Active Learning, Metric/Representation Base, Memory/Knowledge Base, Weigh Base, and Learning to Optimize
Clojure Clojure, Type System and SPEC
Type systems and statically/dynamically typed languages
In programming languages, the type system describes t...