📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

All ▶ YouTube 116,730 📚 Coursera 18,100 🎤 TED 1

How you can SAVE A LOT OF TIME with Pre-trained models

📐 ML Fundamentals

How you can SAVE A LOT OF TIME with Pre-trained models

DataCamp Advanced 6mo ago

Machine Learning models are HERE TO STAY

📐 ML Fundamentals

Machine Learning models are HERE TO STAY

DataCamp Advanced 6mo ago

The AI REVOLUTION has TAKEN US by STORM

📐 ML Fundamentals

The AI REVOLUTION has TAKEN US by STORM

DataCamp Advanced 6mo ago

The SURPRISING POWER of PRIVATE DATA Revealed

📐 ML Fundamentals

The SURPRISING POWER of PRIVATE DATA Revealed

DataCamp Advanced 6mo ago

#313 Better Predictive Models with Graph Transformers | Jure Leskovec, Professor at Stanford

📐 ML Fundamentals

#313 Better Predictive Models with Graph Transformers | Jure Leskovec, Professor at Stanford

DataCamp Advanced 7mo ago

#297 The Past and Future of Language Models | Andriy Burkov, Author of The Hundred-Page ML Book

📐 ML Fundamentals

#297 The Past and Future of Language Models | Andriy Burkov, Author of The Hundred-Page ML Book

DataCamp Advanced 11mo ago

Sloth or Pastry? Using PyTorch and Deep Learning for Image Classification

📐 ML Fundamentals

Sloth or Pastry? Using PyTorch and Deep Learning for Image Classification

DataCamp Advanced 2y ago