AI Foundations
Begin your AI journey with fundamental concepts. Learn what AI is, how machine learning works, and train your first neural network.
🎯What You'll Learn
- ✓Core concepts of artificial intelligence and machine learning
- ✓How neural networks learn from data
- ✓Training and evaluating your first ML model
- ✓Understanding overfitting and underfitting
- ✓Essential evaluation metrics for model performance
💪Skills You'll Gain
🏆Learning Outcomes
📖Interactive Modules (10)
What is Artificial Intelligence?
Introduction to artificial intelligence, its history, and how machines learn to perform intelligent tasks.
Machine Learning Basics
Understand supervised, unsupervised, and reinforcement learning fundamentals and their applications.
Neural Network Fundamentals
Learn how artificial neural networks mimic the human brain to process information.
Training Your First Model
Build and train your first machine learning model with interactive step-by-step guidance.
Data Preparation Playground
Master data cleaning, normalization, and preprocessing techniques essential for machine learning.
Overfitting vs Underfitting
Understand model bias-variance tradeoff and how to achieve optimal model generalization.
Loss Functions Explorer
Explore different loss functions for classification and regression and their impact on training.
Gradient Descent Simulator
Visualize gradient descent optimization, learning rates, and how models find optimal parameters.
Train-Test-Val Split Game
Learn proper dataset splitting into training, validation, and test sets for robust evaluation.
Model Evaluation Metrics
Master accuracy, precision, recall, F1-score, and other metrics for model performance assessment.