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1)Differentiate between Data Science , Machine Learning and AI.
A sub- field of computer science consisting of various task like planning, moving around in the world, recognizing objects and sounds, speaking, translating, performing social or business transactions, creative work..
X is referred to as the predictor variable and Y as the criterion variable. Estimating a value from 2 known values from a list of values is Interpolation. 14) What is the difference between Cluster and Systematic Sampling?
Extrapolation is approximating a value by extending a known set of values or facts. An experimental design technique for determining the effect of a given sample size. Cluster sampling is a technique used when it becomes difficult to study the target population spread across a wide area and simple random sampling cannot be applied.
For example, if you want to predict whether a particular political leader will win the election or not.
In this case, the outcome of prediction is binary i.e. The predictor variables here would be the amount of money spent for election campaigning of a particular candidate, the amount of time spent in campaigning, etc. A subclass of information filtering systems that are meant to predict the preferences or ratings that a user would give to a product.
These kind of analytics interview questions also measure if you were successful in applying data science techniques to real life problems.
CLICK HERE to get the data scientist salary report delivered to your inbox! Or State an example when you have used logistic regression recently.
Logistic Regression often referred as logit model is a technique to predict the binary outcome from a linear combination of predictor variables.
Apart from the degree/diploma and the training, it is important to prepare the right resume for a data science job, and to be well versed with the data science interview questions and answers.
Tweet: Data Science Interview questions and answers Consider our top 100 Data Science Interview Questions and Answers as a starting point for your data scientist interview preparation.