Machine Learning Fundamentals

Understanding the Core Theories Behind AI

Supervised Learning Illustration

Supervised Learning

Explore algorithms that learn from labeled data. Understand regression, classification, and key model evaluation metrics.

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Unsupervised Learning Illustration

Unsupervised Learning

Dive into algorithms that find patterns in unlabeled data. Discover clustering, dimensionality reduction, and association rules.

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Reinforcement Learning Illustration

Reinforcement Learning

Understand how agents learn through trial and error. Explore states, actions, rewards, and policy optimization.

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Model Evaluation Illustration

Model Evaluation & Optimization

Learn to assess model performance with metrics like accuracy, precision, recall, and F1-score. Understand bias-variance tradeoff and hyperparameter tuning.

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Feature Engineering Illustration

Feature Engineering

Discover techniques for creating and selecting the most relevant features for your ML models. Understand encoding, scaling, and transformation.

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Deep Learning Basics Illustration

Deep Learning Basics

Get an introduction to neural networks, activation functions, backpropagation, and common architectures like CNNs and RNNs.

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