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ML Interpretability and Explainability

Intermediate
€20
2h
11 lessons

Learn to interpret machine learning models through hands-on implementation of SHAP, LIME, GradCAM, and other essential techniques.

Machine Learning
Interpretability
Explainability

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Lessons

1

Introduction to ML Interpretability and Explainability

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2

Intrinsic Model Interpretability & Surrogate Methods

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3

Feature Importance & Global Interpretation Techniques

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4

Model-Agnostic Methods & SHAP Values

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5

Local Explainability with LIME & SHAP

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6

Hands-On #1

60 min

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7

Deep Learning Interpretability Methods

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8

Visual Interpretation Techniques for Neural Networks

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9

Quiz #1

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10

Hands-On #2

60 min

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11

Quiz #2

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