What are some advanced machine learning techniques I should know about?
Some advanced techniques include ensemble methods, deep learning, reinforcement learning, and transfer learning.
Can you explain how deep learning differs from traditional machine learning?
Deep learning uses neural networks with many layers to learn from large amounts of data, while traditional ML often relies on simpler models.
What is reinforcement learning and where is it applied?
Reinforcement learning is a type of ML where an agent learns to make decisions by receiving rewards or penalties. It's used in robotics, gaming, and autonomous vehicles.
How does transfer learning work?
Transfer learning involves taking a pre-trained model on one task and fine-tuning it for a different but related task, saving time and resources.
What are some real-world applications of these techniques?
Real-world applications include image and speech recognition, natural language processing, and predictive analytics in various industries.
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