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AI & Machine Learning Fundamentals
Build a complete foundation in AI/ML from the ground up: understand training data, loss functions, neural networks, optimization, and modern architectures like CNNs and Transformers.
📚 12 learning paths📝 40 total sections⭐ +1000 XP bonus on completion
1
🏷️
Supervised vs Unsupervised Learning
beginner⏱️ 40m📝 3 sections
2
📊
Training, Validation & Test Data
beginner⏱️ 35m📝 3 sections
3
⚡
Activation Functions
beginner⏱️ 35m📝 3 sections
4
📉
Loss Functions
intermediate⏱️ 45m📝 3 sections
5
📈
Learning Rate & Optimization
intermediate⏱️ 40m📝 3 sections
6
🔄
Epochs, Batches & Iterations
beginner⏱️ 35m📝 3 sections
7
⛓️
Backpropagation
intermediate⏱️ 50m📝 3 sections
8
🧠
Deep Neural Networks
intermediate⏱️ 55m📝 4 sections
9
🎯
Model Convergence
intermediate⏱️ 40m📝 3 sections
10
🛡️
Regularization Techniques
intermediate⏱️ 45m📝 4 sections
11
🖼️
Convolutional Neural Networks
intermediate⏱️ 50m📝 4 sections
12
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Transformers & Attention
advanced⏱️ 60m📝 4 sections
Complete all 12 paths to earn +1000 bonus XP