Interested to Buy Any Domain ? << Click Here >> for more details...
Is naive bayes good?
What according to you, is more important between model accuracy and model performance?
How machine learning is deployed in real world scenarios?
What measure how far the predictions are from the actual values in machine learning?
Tell me how is knn different from k-means clustering?
Define a fourier transform?
Differentiate between statistics and ML?
What is symbolic processing?
How is knn different from k-means?
Explain the function of Supervised Learning?
How will you choose the most appropriate machine learning algorithm for your classification problem?
Is naive bayes supervised learning?
Which is best language for machine learning?
Tell us which one would you prefer to choose – model accuracy or model performance?
Explain the k-nearest algorithm different from the knn clustering?
