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How do you communicate complex AI concepts to non-technical stakeholders?
How would you preprocess image data for training a CNN?
What is the “kernel trick” and how is it useful?
How will you explain machine learning to a layperson in an easily comprehensible manner?
What functions are required to principal analysis in R?
How knn was different from k-means clustering?
What are eigenvectors and eigenvalues?
How will you drop variables using indices in a data frame?
Case Study based questions - Cars are implanted with speed tracker so that the insurance companies can track about our driving state. Based on this new scheme what kind of business questions can be answered?
What is the “curse of dimensionality?
How does data cleaning plays a vital role in the analysis?
What is a swish function?
What strategies can help align AI systems with human values?
How can someone report a vulnerability in tensorflow?
Write a code/algorithm to find the frequency of each element in an array?
