Useful Links
Computer Science
Artificial Intelligence
Machine Learning
Machine Learning for Developers
1. Introduction to Machine Learning for Developers
2. Machine Learning Project Lifecycle
3. Supervised Learning Fundamentals
4. Unsupervised Learning Fundamentals
5. Python Machine Learning Ecosystem
6. Data Engineering for Machine Learning
7. Pre-trained Models and Transfer Learning
8. Model Deployment and MLOps
9. Production Monitoring and Maintenance
10. Natural Language Processing for Developers
11. Computer Vision for Developers
12. Responsible AI and Ethics
13. Advanced Topics and Specializations
Pre-trained Models and Transfer Learning
Transfer Learning Concepts
Feature Extraction
Fine-Tuning Strategies
Domain Adaptation
Multi-Task Learning
Model Repositories and Hubs
Hugging Face Hub
Model Discovery
Model Loading
Custom Model Upload
TensorFlow Hub
Module System
Integration Patterns
PyTorch Hub
Model Zoo
Custom Models
Cloud AI Services
Vision Services
Image Classification APIs
Object Detection APIs
OCR Services
Face Recognition APIs
Language Services
Text Analysis APIs
Translation Services
Speech Recognition APIs
Chatbot Frameworks
AutoML Platforms
Automated Model Training
No-Code Solutions
Custom Model Development
Previous
6. Data Engineering for Machine Learning
Go to top
Next
8. Model Deployment and MLOps