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ML Hero Quest

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ML Hero Quest

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Become a fearless ML Hero

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Philippines

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ML Hero Quest
 

ML Hero QuestOnline version

Become a fearless ML Hero

by Liam Isaiah Porteria
1

Slide 1: Welcome, ML Hero

Meet the ML Hero, guiding you through data quests, model training, and epic predictions.

2

Slide 2: What is ML?

In this quest, machine learning means teaching computers to learn from data and make useful decisions without explicit programming.

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Slide 3: Data is King

Your journey starts with data: quality, quantity, and representation determine how well your hero learns and generalizes to new problems.

4

Slide 4: Features and Labels

Features are the input signals the model uses; labels are the ground truth answers you train against.

5

Slide 5: Training vs Evaluation

Training optimizes the model with loss minimization, while evaluation tests its performance on unseen data to prevent overfitting.

6

Slide 6: Choosing Algorithms

Choose an algorithm aligning with your task: linear models, trees, or neural networks, each with strengths and trade-offs.

7

Slide 7: Overfitting and Bias

Be mindful of overfitting and bias; your hero must generalize well and treat all groups fairly.

8

Slide 8: Metrics

Use appropriate metrics: accuracy, precision, recall, F1, or ROC-AUC to measure true performance.

9

Slide 9: Deployment

Once ready, deploy the model responsibly, monitor performance, and update as data evolves in the real world.

10

Slide 10: Ethics & Explainability

Ethics and transparency matter; explainability helps users trust your ML Hero and its decisions.

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