Tell us what is your training in machine learning and what types of hands-on experience do you have?
77Post New AI Machine Learning Questions
What is dimension reduction in Machine Learning?
How many types are available in machine learning?
Differentiate between a parameter and a hyperparameter?
What are standardization and normalisation? Give one advantage of each over the other?
How does naive bayes classifier work in machine learning?
List out some important methods of reducing dimensionality.
Tell us what's the f1 score? How would you use it?
How do I become an expert in machine learning?
You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?
What is symbolic machine learning?
What do you know about bayesian networks?
What measure how far the predictions are from the actual values in machine learning?
What Is The Difference Between Bias And Variance?
Tell us where do you usually source datasets?
Explain me what's the trade-off between bias and variance?