BestHub
Sign in
Tag

normalization

0 views collected around this technical thread.

Test Development Learning Exchange
Test Development Learning Exchange
Nov 21, 2024 · Artificial Intelligence

Data Preprocessing: Standardization, Normalization, and Missing Value Imputation with Python

This tutorial demonstrates how to perform essential data preprocessing techniques—including standardization, min‑max normalization, and various missing‑value imputation methods—using pandas and scikit‑learn in Python, providing code examples and explanations to help you prepare datasets for machine‑learning models.

PythonStandardizationdata preprocessing
0 likes · 6 min read
Data Preprocessing: Standardization, Normalization, and Missing Value Imputation with Python
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Nov 11, 2024 · Databases

Fundamentals of Relational Databases: Tables, Data Modeling, SQL, and Normalization

This article introduces core relational database concepts, covering tables, data models and ER diagrams, the fundamentals of SQL, and the first three normal forms, providing clear explanations and examples to build a solid foundation for further database study.

Data ModelingER diagramRelational Database
0 likes · 7 min read
Fundamentals of Relational Databases: Tables, Data Modeling, SQL, and Normalization
Java Captain
Java Captain
Feb 1, 2024 · Databases

Best Practices for MySQL Table Design

This article outlines ten essential MySQL table design best practices, covering requirement analysis, data type selection, normalization, indexing, keys, character sets, storage engines, partitioning, backup, and performance monitoring to improve scalability, maintainability, and efficiency.

Database DesignIndexingMySQL
0 likes · 5 min read
Best Practices for MySQL Table Design
Architects Research Society
Architects Research Society
Nov 27, 2023 · Databases

Formal Naming of Data Schemas, Structures, and Models: Distinctions and Methodology

The article explains the differences between data schemas, data structures, and data models, proposes a systematic naming approach, and outlines a five‑schema architecture—including business, view, logical, deployment, and physical schemas—while addressing terminology challenges and normalization processes.

Data ModelingData StructureDatabase Design
0 likes · 12 min read
Formal Naming of Data Schemas, Structures, and Models: Distinctions and Methodology
Continuous Delivery 2.0
Continuous Delivery 2.0
Sep 21, 2023 · Operations

Scaling DevOps in Large Organizations: Normalization, Standardization, and Platformization

The article outlines how organizations over a hundred engineers must go beyond merely copying DevOps practices by adopting three progressive steps—normalization, standardization, and platformization—to achieve measurable, scalable efficiency, and concludes with a promotional notice for a Python‑based continuous deployment training course.

DevOpsScalingStandardization
0 likes · 8 min read
Scaling DevOps in Large Organizations: Normalization, Standardization, and Platformization
Model Perspective
Model Perspective
Mar 13, 2023 · Fundamentals

Mastering TOPSIS: Step-by-Step Guide with Python Implementation

This article explains the TOPSIS multi‑criteria decision‑making technique, outlines its mathematical formulation, walks through the seven procedural steps, and demonstrates a complete Python example that normalizes data, computes distances, scores alternatives, and ranks the best solution.

PythonTOPSISdecision making
0 likes · 8 min read
Mastering TOPSIS: Step-by-Step Guide with Python Implementation
IT Architects Alliance
IT Architects Alliance
Jan 13, 2023 · Databases

Database Design Fundamentals: Key Concepts, ER Diagrams, and Normal Forms

This article explains fundamental database design concepts, including candidate and primary keys, attributes, relations, ER diagram components, and detailed descriptions of the first, second, third, and BC normal forms with examples and how to resolve insertion, deletion, update, and redundancy anomalies.

Data IntegrityDatabase DesignER diagram
0 likes · 9 min read
Database Design Fundamentals: Key Concepts, ER Diagrams, and Normal Forms
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 24, 2022 · Artificial Intelligence

Spectral Normalization in GANs: Theory, Implementation, and Code Walkthrough

This article explains the motivation behind Spectral Normalization for stabilizing GAN training, derives its mathematical foundation, shows how it enforces the Lipschitz constraint, and provides a complete PyTorch implementation with detailed code explanations.

GANLipschitz ContinuityPyTorch
0 likes · 11 min read
Spectral Normalization in GANs: Theory, Implementation, and Code Walkthrough
Architect's Guide
Architect's Guide
Aug 21, 2022 · Databases

Relational Database Design with MySQL: ER Modeling, Normalization, Storage Engine, Charset, Data Types, and Index Design

This article explains relational database design using MySQL, covering ER modeling, BCNF and 3NF normalization, storage engine and charset choices, data type selection, and index design, illustrated with examples and practical guidelines for building a student course selection system.

Data TypesDatabase DesignER Model
0 likes · 15 min read
Relational Database Design with MySQL: ER Modeling, Normalization, Storage Engine, Charset, Data Types, and Index Design
Model Perspective
Model Perspective
May 25, 2022 · Fundamentals

Mastering the CRITIC Method: Step-by-Step Guide to Weight Determination

This article explains the CRITIC (Criteria Importance Through Inter‑criteria Correlation) method, detailing its use of standard deviation and inter‑criterion correlation to compute criterion weights through a clear three‑step evaluation process with references to scholarly applications.

CRITICdecision makingmulti-criteria decision analysis
0 likes · 2 min read
Mastering the CRITIC Method: Step-by-Step Guide to Weight Determination
Model Perspective
Model Perspective
May 15, 2022 · Fundamentals

Mastering TOPSIS: A Step‑by‑Step Guide to Multi‑Criteria Decision Making

TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) is a widely used multi‑criteria decision‑making method that ranks alternatives by their geometric distance to an ideal positive solution and farthest from a negative solution, with a straightforward seven‑step process from data normalization to final ranking.

RankingTOPSISdecision analysis
0 likes · 4 min read
Mastering TOPSIS: A Step‑by‑Step Guide to Multi‑Criteria Decision Making
Model Perspective
Model Perspective
May 12, 2022 · Fundamentals

How to Transform Indicators into Dimensionless Scores: Key Normalization Techniques

This article explains the concept of dimensionless processing for evaluation indicators and introduces several common transformation methods—including standard sample, ratio, vector normalization, range, and efficacy coefficient techniques—to convert raw values into comparable evaluation scores.

data preprocessingdimensionlessevaluation metrics
0 likes · 3 min read
How to Transform Indicators into Dimensionless Scores: Key Normalization Techniques
DataFunTalk
DataFunTalk
Aug 10, 2021 · Artificial Intelligence

Practical Deep Learning Tricks: Cyclic LR, Flooding, Warmup, RAdam, Adversarial Training, Focal Loss, Dropout, Normalization, ReLU, Group Normalization, Label Smoothing, Wasserstein GAN, Skip Connections, Weight Initialization

This article presents a concise collection of practical deep‑learning techniques—including cyclic learning‑rate, flooding, warmup, RAdam, adversarial training, focal loss, dropout, various normalization methods, ReLU, group normalization, label smoothing, Wasserstein GAN, skip connections, and weight initialization—along with code snippets and references for implementation.

GANadversarial trainingdeep learning
0 likes · 8 min read
Practical Deep Learning Tricks: Cyclic LR, Flooding, Warmup, RAdam, Adversarial Training, Focal Loss, Dropout, Normalization, ReLU, Group Normalization, Label Smoothing, Wasserstein GAN, Skip Connections, Weight Initialization
php中文网 Courses
php中文网 Courses
May 19, 2021 · Databases

Fundamentals of Relational Databases: Key Concepts and Common Questions

This article provides a comprehensive overview of relational database fundamentals, covering common DBMS products, SQL language components, integrity constraints, transactions, locking, views, stored procedures, indexes, normalization, key differences, constraints, optimization techniques, storage engines, and performance strategies for high‑traffic sites.

Data IntegrityDatabase OptimizationIndexes
0 likes · 12 min read
Fundamentals of Relational Databases: Key Concepts and Common Questions
Continuous Delivery 2.0
Continuous Delivery 2.0
Mar 9, 2021 · Operations

Scaling DevOps in Organizations Over 100 People: Normalization, Standardization, and Platformization

When a software organization exceeds one hundred members, merely copying existing DevOps practices is insufficient; instead, a three‑step approach—normalization, standardization, and platformization—must be applied to restructure teams, enable measurable outcomes, and sustain scalable efficiency across the enterprise.

DevOpsScalingStandardization
0 likes · 5 min read
Scaling DevOps in Organizations Over 100 People: Normalization, Standardization, and Platformization
Laravel Tech Community
Laravel Tech Community
Nov 19, 2020 · Databases

Fundamental Principles of Database Design: Entities, Keys, Normalization, and Optimization

This article outlines essential database design concepts, covering the relationship between source documents and entities, primary‑foreign key design, basic table characteristics, normalization standards, handling many‑to‑many relationships, primary key strategies, data redundancy, ER‑diagram considerations, view usage, and performance‑boosting techniques.

Data RedundancyDatabase Designentity-relationship
0 likes · 12 min read
Fundamental Principles of Database Design: Entities, Keys, Normalization, and Optimization
Architecture Digest
Architecture Digest
Nov 12, 2020 · Databases

Key Principles of Database Design: From Entity Relationships to Performance Optimization

This article outlines essential database design principles, covering entity‑document relationships, primary and foreign keys, basic table characteristics, normalization versus denormalization, handling many‑to‑many relations, view usage, integrity constraints, and performance‑boosting techniques such as the “Three‑Less” rule and partitioning.

Database DesignER diagramforeign key
0 likes · 13 min read
Key Principles of Database Design: From Entity Relationships to Performance Optimization