500 Data Science Interview Questions and Answers Vamsee Puligadda Disclaimer Although the author and publisher have made every effort to ensure that the information in this book was correct at press time, the author and publisher do not assume and hereby disclaim any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from negligence, accident, or any other cause. For any suggestions/concerns, please write to us: indianwolfpublications@gmail.com Copyright 2018 Vamsee Puligadda & Indian Wolf Publications Foreword I am neither the owner of a famous publishing company nor am a top IT company with hundreds of inhouse developers to create anything I wanted to with a great ease. I am an independent Software developer with passion towards what I do and trust me, a lot of time, efforts were put into creating this extensive collection of questions and answers at a single place. If it helps at least a few in their careers to achieve their dream jobs, I will be more than happy. Thank You. Vamsee Puligadda. Question 1. What Is A Recommender System? Answer: A recommender system is today widely deployed in multiple fields like movie recommendations, music preferences, social tags, research articles, search queries and so on. The recommender systems work as per collaborative and content-based filte ring or by deploying a personality-based approach. This type of system works based on a person’s past behavior in order to build a model for the future. This will predict the future product buying, movie viewing or book reading by people. It also creates a filtering approach using the discrete characteristics of items while recommending additional items. Question 2. Compare Sas, R And Python Programming? Answer: SAS: it is one of the most widely used analytics tools used by some of the biggest companies on earth. It has some of the best statistical functions, graphical user interface, but can come

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