Machine learning is no longer confined to data science labs. Modern web developers can leverage ML to create intelligent, adaptive applications that provide personalized user experiences.
Common ML Use Cases in Web Development
- Recommendation systems
- Content personalization
- Fraud detection
- Chatbots and virtual assistants
- Image and text analysis
Tools and Frameworks
Several tools make it easier to integrate ML into web applications:
- TensorFlow.js - Run ML models directly in the browser
- Hugging Face - Pre-trained models and APIs
- OpenAI API - GPT models for text generation
- Google Cloud ML - Scalable ML services
- Mistral API - Lightweight and efficient open-weight language models for inference and customization
