hummingbird

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...
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 ...

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...
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