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Data Science Sitemap

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Data science is the practice of discovering knowledge and information in data where knowledge has meaning to humans and information has meaning to machine processes. It is traditionally seen as an interdisciplinary field that includes areas such as statistics, algorithms, distributed computing, databases and machine learning. Data science also requires considerable domain expertise to understand the nature of data in an area such as marketing, financial markets or science. The following are common data science techniques and considerations.
Algorithms
Backtesting
Causality
Cohort
Cohort Analysis
Data Analysis
Data Collection
Data Dredging
Data Integration
Data Lineage
Data Massage
Data Mining
Data Profiling
Data Wrangling
Digitalization
Empiricism
Misuse of Statistics
Negative Correlation
Overfitting
Personal Data
Predictive Analytics
Probability Distribution
Quantification
Quartile
Regression Analysis
Statistical Analysis
Statistical Model
Statistical Population
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Data

An overview of data with a list of examples.

Types Of Data

The basic types of data.

Dark Data

The definition of dark data with examples.

Data Massage

The mysteries of data massage.

Data Definition

Several useful definitions of data.

Analytics

A definition of analytics with examples.

Data vs Information

The difference between data and information.

Hard Data vs Soft Data

The difference between hard data and soft data.

Human Readable

A definition of human readable.

Data Loss

The common types of data loss.

Types Of Artificial Intelligence

A few common types of artificial intelligence.

Technological Singularity

Technological singularity explained.

Affective Computing

Artificial intelligence and emotion.

Artificial Life

An overview of artificial life.

Machine Logic

How artificial intelligence can be illogical.

Deep Learning

A definition of deep learning with examples.

Supervised Learning vs Unsupervised Learning

The difference between supervised and unsupervised learning with an example.

Natural Language Processing

The common types of natural language processing.

Autonomous Systems

Common types of autonomous systems.

Artificial Intelligence Examples

Common examples of artificial intelligence.

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