![]() What are specific ways for determining if you have a local optimum problem? What can be done to avoid local optima? Explain what a local optimum is and why it is important in a specific context, such as k-means clustering.What are the benefits and drawbacks of specific methods, such as ridge regression and LASSO? Explain what regularization is and why it is useful.This answer was posted on Quora by Jay Verkuilen: If you were interviewing a data scientist, what questions would you ask her?Ģ. Basic data science questions how to#How to very efficiently cluster 100 billion web pages, for instance with a tagging or indexing algorithm?.How to turn unstructured data into structured data?.How do you assess the statistical significance of an insight?.Provide examples where you automated a repetitive analytical task.Provide examples of machine-to-machine communication.How frequently an algorithm must be updated? What about lookup tables in real-time systems?.Have you been involved – as an adviser or architect – in the design of dashboard or alarm systems?.Examples of bad and good visualizations?.How do you define / select metrics? Have you designed and used compound metrics?.How to optimize algorithms (parallel processing and/or faster algorithm: provide examples for both).How to efficiently scrape web data, or collect tons of tweets?.Name a few famous API’s (for instance Google search).What is the biggest data set you have worked with, in terms of training set size, and in terms of having your algorithm implemented in production mode to process billions of transactions per day / month / year?. ![]()
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