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Quantitative MethodsModule 11 of 11

Introduction to Big Data Techniques

5

Concepts

0

Formulas

1

Decisions

3

Quiz Questions

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Key Concepts

5 concepts covered in this module.

Big Data Characteristics

Volume (large amount), Velocity (speed of generation), Variety (structured/unstructured), Veracity (reliability).

Machine Learning Types

Supervised: labeled data (classification, regression). Unsupervised: no labels (clustering, dimensionality reduction). Reinforcement: reward-based learning.

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Decision Frameworks

1 decision frameworks to guide your analysis.

Supervised vs Unsupervised Learning?

  • Supervised: when you have labeled outcomes (predict stock up/down)
  • Unsupervised: when discovering hidden patterns (cluster similar stocks)

Mind Map

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Big Data Characteristics

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Answer
Volume (large amount), Velocity (speed of generation), Variety (structured/unstructured), Veracity (reliability).
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