What are the key statistics used in machine learning?
An example of an AI chatbot conversation about machine learning statistics.
What are the key statistics used in machine learning?
Key statistics in machine learning include mean, median, mode, variance, standard deviation, and correlation.
Can you explain how variance is used in machine learning?
Variance measures the spread of data points in a dataset, helping to understand model performance and overfitting.
What is the difference between bias and variance?
Bias refers to errors due to overly simplistic assumptions in the learning algorithm, while variance refers to errors due to excessive complexity.
How do I choose the right statistical method for my model?
Choosing the right method depends on your data type, distribution, and the specific problem you're trying to solve.
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