6.3 - Technical Basics of AI in Healthcare

6.3.1 - Artificial Intelligence vs Machine vs Deep Learning

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Artificial Intelligence—The Revolution Hasn’t Happened Yet

Deep Learning

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Machine Learning Models vs Statistical Modeling

The Actual Difference Between Statistics and Machine Learning

No, they are not the same. If machine learning is just glorified statistics, then architecture is just glorified sand-castle construction

ML vs Statistics

StatisticsMachine Learning
Subfield
Mathematics
Computer programming
Focus
Explicit programming
Learning from data
Purpose
Inferences
Prediction
Practical implication
Test hypothesis
Make hypothesis
Data
Multivariate
Multivariate and Multidimensional
Result
Relationship
Prediction
Interpretability
High
Medium to Low

Statistics: Relationship between the data and our outcome variable

Machine Learning: Predictions about future data

Understanding ML

Deductive vs Inductive in Data Application

Conventional paradigm deductive in nature

Clinical decision support—a future model harnesses the potential of big data for inductive reasoning

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The Cooking Metaphor

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Whole new Programming Paradigm - Where data Codes

Explain with instructions Example

Everyone has a recipe

6.3.2 - Types of Machine Learning

6.3.2 - Types of Machine Learning

6.3.3 - Basic Types of Algorithms

6.3.3 - Basic Types of Algorithms

6.3.4 - Types of Neural Networks

6.3.4 - Types of Neural Networks

6.3.5 - What does the Future Hold?

6.3.5 - What does the Future Hold?