The process for softening the steel part is called Annealing. Generally it is done for the following purposes,
☛ To soften the steel for machining.
☛ To refine the grain size in the steel.
☛ To increase ductility in the steel.
☛ To relieve internal stresses.
☛ To change electrical and mechanical properties.
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?
Tell us what is decision tree classification?
Tell me do you have experience with Spark or big data tools for machine learning?
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