Machine Learning Foundations | Incognition

Machine Learning Foundations

Machine Learning Foundations

Machine Learning foundation — how models learn from examples, and where they are applied in the real world.

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Computers Can Learn Patterns

Some problems are hard to code

AI vs Machine Learning vs Deep Learning

Types of Machine Learning

Every ML Project Follows a Recipe

Features, Labels & Predictions

Regression vs Classification

Real World Applications of Machine Learning

How a Machine Learns from Data

Everything Starts with Data

Organizing Information for Learning

How Data is Stored

What the Model Actually Sees

What Are We Trying to Predict?

Numerical, Categorical & Beyond

Different Forms of Information

Garbage In, Garbage Out

When Information is Incomplete

Seeing Patterns Before Learning

When Relationships Mislead