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.
Can you explain what is the difference between inductive machine learning and deductive machine learning?
Explain me machine learning in to a layperson?
Tell me what is the most frequent metric to assess model accuracy for classification problems?
Tell us why is Naïve Bayes machine learning algorithm naïve?
Tell us what is your training in machine learning and what types of hands-on experience do you have?
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?
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