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Difference between supervised, unsupervised and reinforcement learning?

Is there anything you do to make yourself stand out?

Tell me about a situation in you you were challenged when in public.

How does the training time complexity of SVMs scale with the size of the dataset? How resource-intensive is the inference operation in a support vector machine in terms of time complexity? What impact do Linear and RBF kernels have on the training and inference time complexity of SVM models?

Which aspects of the Data Scientist role at Meta appeals to you most?

What's the reason behind the curse of dimensionality in data analysis, and how would you resolve it?

Could you explain your methodology for selecting the most effective algorithm for a specific machine learning problem?

Do you have any numerical data to support the effectiveness of the core functions of Meta?

Do you have a project that you're especially proud of? Why so?

Can you share an experience where you led a group of people