☛ To improve machinability.
☛ To obtain desired properties.
☛ To increase resistance of corrosion.
☛ To change electrical and magnetic properties.
☛ To relieve the stresses after cold or hot working.
☛ To refine the grain size.
Tell me what is supervised versus unsupervised learning?
Tell me how much data will you allocate for your training, validation and test sets?
Tell us an example where ensemble techniques might be useful?
Tell us how can we use your machine learning skills to generate revenue?
Explain me what’s your favorite algorithm, and can you explain it to me in less than a minute?
Can you list some use cases where classification machine learning algorithms can be used?
Tell me what is precision and recall?
Tell us where do you usually source datasets?
What is the difference between L1 and L2 regularization?
Tell me what is the difference between bias and variance?
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