Answer / Jabir Husain

A feature vector is a collection of numerical attributes or features that describe the characteristics of an object, event, or sample in a dataset. Each attribute is represented as a single value in the vector.

What is back propagation and explain it’s working.

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What are data science and analytic?

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A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?

1 Answers   Goldman Sachs,

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What do you understand by the lattice package?

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What are the major skills data scientist need?

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How do you overcome challenges to your findings?

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How can you decide if one algorithm is better than the other?

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How will you cut a circular cake into 8 equal pieces?

1 Answers   Google,

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What are essential skills and training needed in data Science?

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How do data management procedures like missing data handling make selection bias worse?

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What is an Eigenvalue and Eigenvector?

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What is the importance of having a selection bias?

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