Fusibility. It is the property of metal due to which a metal becomes fluid when it is heated.
Stiffness. It is the property of metal due to which a metal is capable of resisting deflection due to an externally applied load.
Ductility. It is the property of metal due to which a metal can be drawn into the form of wires without rupture.
Tell us what do you think of our current data process?
Tell us how do you ensure you’re not overfitting with a model?
Explain me what is Bayes’ Theorem? How is it useful in a machine learning context?
Tell me how is KNN different from k-means clustering?
Please explain what is deep learning, and how does it contrast with other machine learning algorithms?
Do you know what’s the “kernel trick” and how is it useful?
Tell me how a ROC curve works?
Tell us what’s the difference between a generative and discriminative model?
Do you know which is more important to you– model accuracy, or model performance?
Tell us what kind of problems does regularization solve?
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