Indian Institute of Technology Gandhinagar R&D Engineer Interview Questions and Answers

ML Case study with time-series data

Q1. Explain outliers and outlier detection algorithms
Ans. 
Outliers are data points that significantly differ from other data points. Outlier detection algorithms identify and remove these anomalies.
• Outliers are data points that fall far outside the normal range of values in a dataset.

• Outlier detection algorithms include statistical methods like Z-score, Tukey's fences, and machine learning techniques like isolation forests and one-class SVM.

• Outliers can skew statistical analy...read more
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Q2. How to handle huge amount of data and what are the efficient ways of storing them
Ans. 
To handle huge amount of data efficiently, consider using distributed storage systems, data compression techniques, and data partitioning.
• Utilize distributed storage systems like Hadoop or Spark to store and process large volumes of data across multiple nodes

• Implement data compression techniques such as gzip or snappy to reduce storage space and improve data transfer speeds

• Partition data into smaller chunks based on ke...read more
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