Advanced ML
Machine Learning Roadmap
A practical roadmap to master Machine Learning from zero to advanced — with strong emphasis on hands-on projects and real-world skills.
Advanced Roadmap – Level Up
Once you have the foundations, dive into modern ML techniques and real-world applications.
| Step | Topic | Key Concepts | Hands-on Projects | Best Free Resources |
|---|---|---|---|---|
| 5 | Deep Learning | Neural networks, CNNs, RNNs, Transformers, backpropagation, regularization | Build image classifiers and sequence models with PyTorch/TensorFlow | fast.ai Practical Deep Learning DeepLearning.AI Deep Learning Specialization PyTorch Official Tutorials |
| 6 | Computer Vision | Convolutions, object detection (YOLO), segmentation, transfer learning | Object detection apps, face detection, style transfer | Stanford CS231n OpenCV Tutorials |
| 7 | Natural Language Processing | Text preprocessing, embeddings, Transformers, LLMs basics, sentiment analysis | Build sentiment classifiers, chatbots, and text generation models | Hugging Face NLP Course DeepLearning.AI NLP Specialization |
| 8 | Reinforcement Learning & Generative AI | Q-learning, policy gradients, GANs, diffusion models, VAEs | Train agents in Gymnasium, generate images with diffusion models | OpenAI Spinning Up Hugging Face Diffusers |
| 9 | Advanced Topics & MLOps | Explainable AI, transfer learning, MLOps basics, ethical AI | Model interpretation with SHAP, deploy ML models | Interpretable ML Book TensorFlow Extended (TFX) |
This roadmap links to third-party websites.