Post by prisilai on Feb 12, 2024 10:50:30 GMT 5.5
Airs to listen carefully and dont rush your answers. Taking time to process and consider isnt a bad signit proves you take your approach seriously. . Give an example of a problem you solved or tried to solve with machine learning. Stormoen the founder of Mobibiopens in a new tab mentioned above loves this question for its simplicity. His advice Make it personalshow your passion selfstarter approach creative thinking. Bottom line Yes even machine learning or datadriven jobs require passion. Show yours off a little. . Expect technical questions around frameworks and machine learning models plus some conceptual questions too.
Stormont says you should know your frameworks and common ML models e.g. PCA Regression Cayman Islands Email List and Clustering. You should also be able to demonstrate an understanding of common ML stacks at the cloud providers AWS Azure or GCloud for example with AWS S buckets or RDS lambda AWS ML etc. Or take this advice from Allen Lu a former machine learning intern at Google who outlined the machine learning job interview questions he tackled to land the internship in a recent Quora postopens in a new tab Common questions will focus on basic machine learning topics like logistic regression SVM Naive Bayes etc.
You'll also likely be asked about fundamentals for neural networks such as fullyconnected layers activation functions and the proscons of deep learning more hidden layers. Google didnt stop with the technical questions though. Why would they related questions we mentioned earlier Google also likes to get a little conceptual. Says Lu You can expect some conceptual questions such as the biasvariance tradeoff different loss functions overfittingregularization etc. Bottom line Again the technical interview questions are going to vary but the best way to prepare for them is to review all the basic machine learning topics youve learned so you feel comfortable talking about them. . Curveball The German Tank Problem Tip Read this question carefully. Its one that Pete Sosnowski the.
Stormont says you should know your frameworks and common ML models e.g. PCA Regression Cayman Islands Email List and Clustering. You should also be able to demonstrate an understanding of common ML stacks at the cloud providers AWS Azure or GCloud for example with AWS S buckets or RDS lambda AWS ML etc. Or take this advice from Allen Lu a former machine learning intern at Google who outlined the machine learning job interview questions he tackled to land the internship in a recent Quora postopens in a new tab Common questions will focus on basic machine learning topics like logistic regression SVM Naive Bayes etc.
You'll also likely be asked about fundamentals for neural networks such as fullyconnected layers activation functions and the proscons of deep learning more hidden layers. Google didnt stop with the technical questions though. Why would they related questions we mentioned earlier Google also likes to get a little conceptual. Says Lu You can expect some conceptual questions such as the biasvariance tradeoff different loss functions overfittingregularization etc. Bottom line Again the technical interview questions are going to vary but the best way to prepare for them is to review all the basic machine learning topics youve learned so you feel comfortable talking about them. . Curveball The German Tank Problem Tip Read this question carefully. Its one that Pete Sosnowski the.