In this article, we have listed all the important data science interview questions that are frequently asked in an interview. Data science is a vast and trending field these days. In fact, it has become one of the most demanding positions not just in IT sector but other allegedly non-IT sectors as well. So if you’re planning to pursue data science or if you’re already working on it and preparing for an interview, then this post is going to guide you throughout your journey by providing all key pointers in the form of commonly asked data science interview questions with answers.
Let us go through some of these top interview questions in data science now:
What is data science ?
Every Interviewer wants to know what the person actually knows about Data Science.
Data science is a vast Sector that includes many sub-fields , One of the fastest growing Field in IT as well as Non-IT Sectors due to increased demands in data processing, analyzing and generating meaning out of the billions of raw data(structured and unstructured data) generated daily in the world from users and online platforms.
What is Machine learning ?
Machine learning is the Sub Branch of Data Science and is basically the study of algorithms and statistical models that can be used to clean, analyze, process and training of raw data into the useful data.
What is Deep learning ?
Deep Learning is a sub-category of machine learning that includes the algorithms which ensembles the functioning similar to the functioning of neurons present in the human's brain.
What is Supervised learning ?
The data is labeled. And the algorithms learn from data to predict the output. Then we call it as supervised learning.
What is Unsupervised learning ?
Unsupervised learning is a branch of machine learning that learns from test data that has not been labeled, classified or categorized.
What is Reinforcement learning ?
Reinforcement learning is an area of machine learning in which the algorithms are designed in such a way that they learn and enhance their accuracy by recursively training on the real world raw data.
What is Transfer learning ?
Transfer learning make use of the knowledge gained while solving one problem and applying it to a different but related problem.
What is Regression ?
In Statistics, a measure of the relation between the mean value of one variable (e.g. output) and corresponding values of other variables
What is Classification ?
In machine learning and statistics, classification can be Supervised and Unsupervised learning technique in which the data is classified by the algorithm into the particular categories.
What is Clustering ?
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. Clustering is more famous within the use cases in which the labels onto which data is classified are unknown.
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