90-Day Super Advanced AI Study Roadmap

Congratulations on committing to this 90-day super-advanced AI study journey! This roadmap is designed to cover advanced concepts, cutting-edge technologies, and hands-on projects to elevate your AI expertise. Adjust the pace based on your prior knowledge and availability.

Week 1-2: Advanced Machine Learning Techniques

Day 1-3: Review of Classical Machine Learning Algorithms
Day 4-7: Ensemble Learning (Boosting, Bagging)
Day 8-10: Advanced Regression Techniques
Day 11-14: Time Series Forecasting and Advanced Classification

Week 3-4: Deep Learning Architectures

Day 15-17: Deep Neural Networks (DNNs)
Day 18-21: Convolutional Neural Networks (CNNs)
Day 22-25: Recurrent Neural Networks (RNNs)
Day 26-28: Generative Models (VAE, GAN)

Week 5-6: Natural Language Processing (NLP)

Day 29-31: Text Preprocessing and Tokenization
Day 32-35: Word Embeddings (Word2Vec, GloVe)
Day 36-38: Named Entity Recognition (NER)
Day 39-42: Sentiment Analysis and Text Generation

Week 7-8: Computer Vision

Day 43-45: Image Preprocessing and Augmentation
Day 46-48: Object Detection
Day 49-51: Image Segmentation
Day 52-54: Transfer Learning in Computer Vision

Week 9-10: Reinforcement Learning

Day 55-57: Basics of Reinforcement Learning
Day 58-60: Markov Decision Processes (MDPs)
Day 61-63: Deep Q-Learning
Day 64-66: Policy Gradient Methods

Week 11-12: Advanced Topics and Specializations

Day 67-69: Explainable AI and Interpretability
Day 70-72: AI Ethics and Bias Mitigation
Day 73-75: Federated Learning
Day 76-78: Quantum Machine Learning
Day 79-81: Meta-Learning
Day 82-84: AI in Healthcare and Biotechnology
Day 85-87: AI for Robotics and Autonomous Systems
Day 88-90: Capstone Project - Implementing a Comprehensive AI Solution

This roadmap is ambitious, and it's essential to supplement your learning with practical projects, research papers, and staying updated with the latest advancements in AI. Best of luck on your super-advanced AI learning journey!