What are some complex algorithms used in machine learning?
Some complex algorithms include neural networks, support vector machines, and ensemble methods like random forests.
Can you explain how neural networks work?
Neural networks mimic the human brain, using layers of interconnected nodes to process data and learn patterns.
What are the advantages of using ensemble methods?
Ensemble methods improve accuracy by combining multiple models, reducing overfitting and increasing robustness.
How do I choose the right algorithm for my project?
Consider factors like data size, complexity, and the specific problem you're trying to solve when choosing an algorithm.
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