What are some advanced techniques for machine learning?

What are some advanced techniques for machine learning?

Some advanced techniques include ensemble methods, deep learning, transfer learning, and reinforcement learning.

Can you explain ensemble methods in more detail?

Ensemble methods combine multiple models to improve performance. Techniques like bagging and boosting are popular examples.

What is transfer learning and when should I use it?

Transfer learning involves taking a pre-trained model and fine-tuning it for a specific task, useful when data is limited.

How does reinforcement learning differ from supervised learning?

Reinforcement learning focuses on learning through trial and error, while supervised learning uses labeled data for training.