entropy | BestHub

Model Perspective

Jan 24, 2025 · Fundamentals

Mastering Weight Generation and Multi‑Criteria Evaluation Methods for Modeling Competitions

This article reviews common weight‑generation and multi‑criteria evaluation techniques—including AHP, entropy, TOPSIS, fuzzy evaluation, CRITIC, PCA, factor analysis, and DEA—explaining their mathematical foundations, advantages, and drawbacks to help competition participants choose the most suitable method for complex decision problems.

AHPDEAMulti-Criteria Evaluation

0 likes · 16 min read

Mastering Weight Generation and Multi‑Criteria Evaluation Methods for Modeling Competitions

Model Perspective

Sep 7, 2024 · Fundamentals

How Choices Reduce Uncertainty: The Hidden Role of Information Entropy

Every daily decision—from picking clothes to selecting a menu item—acts as an entropy‑reducing process, and this article explains how information theory’s concepts of entropy, entropy reduction, and information gain illuminate the nature of choice, free will, and optimal decision‑making.

choice optimizationdecision makingentropy

0 likes · 7 min read

How Choices Reduce Uncertainty: The Hidden Role of Information Entropy

Model Perspective

Mar 29, 2024 · Fundamentals

How Reducing Information Entropy Can Simplify Your Life

In an age of information overload, understanding and applying the concept of entropy to filter and reject unnecessary data helps lower uncertainty, reduce mental load, and enable more focused, efficient decision‑making for a simpler, higher‑quality life.

attention managemententropyinformation theory

0 likes · 9 min read

How Reducing Information Entropy Can Simplify Your Life

DevOps

Mar 11, 2024 · R&D Management

Understanding Business and Personal Debt: Structured Thinking and Management

The article explores the concept of debt in both software projects and personal health, using entropy, the 5‑why method, communication theory, and structured thinking to illustrate how recognizing, analyzing, and systematically addressing such debts can improve system reliability and personal well‑being.

R&D managementTechnical Debtcommunication debt

0 likes · 18 min read

Understanding Business and Personal Debt: Structured Thinking and Management

DevOps

Jan 12, 2024 · Operations

Why Building a Never‑Failing System Is Impossible and How to Pursue Continuous High Availability

The article analyses why truly never‑failing systems cannot exist—citing entropy and Murphy’s laws—examines the organizational and technical obstacles to continuous high availability, and offers practical cultural and engineering practices such as testing, code review, monitoring, and regular system health checks to mitigate risk.

High AvailabilityMurphy's LawOperations

0 likes · 14 min read

Why Building a Never‑Failing System Is Impossible and How to Pursue Continuous High Availability

Tencent Cloud Developer

Jan 10, 2024 · Operations

The Challenges of Building Continuously Available Systems: Entropy, Murphy's Law, and the 'Divine Doctor Paradox'

Building continuously available systems in 2023 is hampered by entropy‑driven technical debt and Murphy’s Law failures, and the “Divine Doctor Paradox” shows that successful availability work goes unnoticed while blame follows any outage, making cultural commitment—not just technology—the essential solution.

High AvailabilityMurphy's LawSRE

0 likes · 14 min read

The Challenges of Building Continuously Available Systems: Entropy, Murphy's Law, and the 'Divine Doctor Paradox'

Model Perspective

Dec 7, 2023 · Fundamentals

Why Entropy Always Increases: Understanding the Second Law of Thermodynamics

The article explains the entropy increase law (the second law of thermodynamics), illustrating how isolated systems become more disordered, why heat flows from hot to cold, and how everyday examples like cooling coffee or refrigerators demonstrate local order at the cost of greater overall disorder.

entropyheat transferphilosophy

0 likes · 6 min read

Why Entropy Always Increases: Understanding the Second Law of Thermodynamics

Tencent Cloud Developer

Nov 21, 2023 · Fundamentals

Understanding Business Debt and Physical Debt: Structured Thinking and Management

The article argues that both business and personal health debts inevitably accumulate like entropy, but can be managed through structured thinking—identifying, categorizing, prioritizing, and continuously monitoring and feedback‑driven actions such as mindfulness, exercise, and disciplined system maintenance—to reduce complexity and sustain growth.

Conway's lawTechnical Debtentropy

0 likes · 18 min read

Understanding Business Debt and Physical Debt: Structured Thinking and Management

DaTaobao Tech

May 22, 2023 · Artificial Intelligence

Statistical and Machine Learning Metrics for Data Analysis

The article presents a practical toolbox of statistical and machine‑learning metrics—including short‑term growth rates, CAGR, Excel forecasting functions, Wilson score adjustment, sigmoid decay weighting, correlation coefficients, KL divergence, elbow detection with KneeLocator, entropy‑based weighting, PCA, and TF‑IDF—offering concise formulas and code snippets for data analysis without deep theory.

PCAcorrelationdata analysis

0 likes · 12 min read

Statistical and Machine Learning Metrics for Data Analysis

Model Perspective

Oct 8, 2022 · Fundamentals

What Is Entropy? From Thermodynamics to Information Theory Explained

This article explores the concept of entropy, tracing its origins from the second law of thermodynamics through Shannon’s information entropy, illustrating its mathematical definition, physical meaning, and practical examples, and even discusses how the principle can be applied to personal growth and organizational management.

Shannon entropyentropyinformation theory

0 likes · 13 min read

What Is Entropy? From Thermodynamics to Information Theory Explained

Python Programming Learning Circle

Sep 15, 2022 · Fundamentals

Time Series Analysis in Python: Visualization, FFT, Entropy, PCA and Autocorrelation

This article demonstrates how to analyze and visualize time‑series sensor data in Python using libraries such as NumPy, Pandas, Matplotlib, Seaborn and Scikit‑learn, covering data import, preprocessing, mean‑std plots, boxplots, Fourier transforms, entropy calculation, PCA dimensionality reduction and autocorrelation analysis.

Data VisualizationFFTPCA

0 likes · 17 min read

Time Series Analysis in Python: Visualization, FFT, Entropy, PCA and Autocorrelation

Model Perspective

Jun 19, 2022 · Artificial Intelligence

How Decision Trees Work: From Entropy to Gini Index Explained

This article introduces decision tree algorithms, explains their role in supervised learning for classification and regression, details the construction process, compares information gain and Gini index for attribute selection, and reviews popular tree methods such as ID3, C4.5, and CART with illustrative examples.

C4.5CARTID3

0 likes · 7 min read

How Decision Trees Work: From Entropy to Gini Index Explained

Model Perspective

Jun 13, 2022 · Artificial Intelligence

Understanding Decision Trees: From Basic Process to Watermelon Example

This article explains the fundamentals of decision tree learning, describing its recursive construction, the criteria for splitting nodes using information gain based on entropy, and walks through a classic watermelon dataset example to illustrate how attributes are selected and the final tree is built.

ID3 algorithmclassificationdecision tree

0 likes · 8 min read

Understanding Decision Trees: From Basic Process to Watermelon Example

Python Programming Learning Circle

Aug 10, 2021 · Artificial Intelligence

Building a Decision Tree Model in Python Using Entropy and Gini Impurity

This tutorial walks through creating, visualizing, and exporting two Python decision‑tree classifiers—one using entropy and the other using Gini impurity—by installing required packages, preparing a simple dataset, training the models with scikit‑learn, and rendering the trees with Graphviz.

Gini ImpurityGraphvizPython

0 likes · 11 min read

Building a Decision Tree Model in Python Using Entropy and Gini Impurity

Tongcheng Travel Technology Center

Aug 4, 2021 · Backend Development

Designing Complex System Architecture: From Entropy to Microservices and the Middle Platform

The article explains how the thermodynamic entropy principle inspires software architecture design, emphasizes abstract thinking and domain‑driven design, compares monolithic and microservice approaches, outlines microservice benefits and distributed‑system design principles, and discusses the complementary role of middle‑platform architecture in modern backend development.

Distributed SystemsDomain-Driven DesignMicroservices

0 likes · 9 min read

Designing Complex System Architecture: From Entropy to Microservices and the Middle Platform

DevOps

May 23, 2018 · Operations

Applying the Second Law of Thermodynamics to Software Architecture, Technical Debt, and Evolution

The article explores how the concept of entropy from the second law of thermodynamics maps onto software systems and organizations, describing entropy increase and reduction, negative entropy, four governing rules, technical debt, progressive architecture patterns such as the strangler and refactoring approaches, and real‑world examples like Amazon’s evolution to microservices.

DevOpsMicroservicesTechnical Debt

0 likes · 17 min read

Applying the Second Law of Thermodynamics to Software Architecture, Technical Debt, and Evolution

Tencent Cloud Developer

Mar 19, 2018 · Artificial Intelligence

Basic Concepts of Decision Trees

Decision trees are tree-structured classifiers that split data using attributes chosen for maximal purity measured by Gini impurity or entropy, with algorithms like ID3 selecting splits by information gain, while overfitting is mitigated through constraints and pruning techniques such as REP, PEP, and CCP.

Gini ImpurityID3algorithm

0 likes · 13 min read

Architecture Digest

Feb 3, 2018 · Artificial Intelligence

Understanding Entropy, Joint Entropy, Conditional Entropy, Relative Entropy, and Cross Entropy

This article explains the concepts of entropy, joint entropy, conditional entropy, relative entropy (KL divergence) and cross‑entropy, illustrating their definitions, mathematical formulas, intuitive interpretations, and relationships through simple probability examples and visual diagrams.

KL divergencecross-entropyentropy

0 likes · 14 min read

Understanding Entropy, Joint Entropy, Conditional Entropy, Relative Entropy, and Cross Entropy