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This course teaches the fundamentals and real-world applications of artificial intelligence and machine learning, including data processing, algorithms, and intelligent system design.
Created by: Dr. Amélie Rousseau
Last updated: 05/2025 • Language: English
Understanding AI and ML concepts
Supervised and unsupervised learning
Designing and training neural networks
Data preprocessing and feature selection
Deploying ML models in applications
Using Python libraries for AI
Evaluating model performance
Ethics in AI systems
Building intelligent agents
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This course includes: