Algorithm 21 pages

- Asymptotic Analysis
- Big O Notation
- (Case|problem) analysis
- Complexity (Big O)
- Data Compression
- Performance - Constant Time - O(1)
- Cost (Performance Metrics)
- Divide-and-Conquer algorithm design paradigm
- Fast Fourier Transformation (FFT) (time to frequency and vice versa)
- Greedy
- (Guiding Principle|Guide Line)
- Tractable / Intractable Problem
- Lifecycle
- Linear Time - O(n)
- NP Complete (Nondeterministic Polynomial Time Complete)
- Polymorphic
- Polynomial time algorithms
- Problem
- Round Robin
- (Performance|Running Time|Fast)
- Documentation / Reference

**Data (State)**

Data (State)

DataBase

Data Processing

Data Quality

Data Structure

Data Type

Data Warehouse

Data Visualization

Data Partition

Data Persistence

Data Concurrency

**Data Science**

Data Analysis

Statistics

Data Science

Linear Algebra
Mathematics

Trigonometry

**Infrastructure**

Operating System

Monitoring

Cryptography

Security

File System

Network

Process (Thread)

Computer

Infra As Code

**Marketing**

Advertising

Analytics

Email

**Contact**

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