When should I use algorithms in machine learning?

When should I use algorithms in machine learning?

You should use algorithms in machine learning when you have a specific problem to solve, such as classification, regression, or clustering.

Can you give me examples of problems that require different algorithms?

Sure! For classification, you might use decision trees or support vector machines. For regression, linear regression is common. Clustering can be done with k-means.

How do I choose the right algorithm for my data?

Choosing the right algorithm depends on the nature of your data, the problem type, and the desired outcome. Experimentation is key!

What if my data is unstructured?

For unstructured data, consider using algorithms like neural networks or natural language processing techniques to extract insights.