Underfitting, Overfitting, Case study, Statistical analysis
Junior Machine Learning Engineer Interview Questions
8,208 junior machine learning engineer interview questions shared by candidates
Everything related with my experience and career expectations.
The technical question was a fairly basic data processing question, easily solved using Pandas.
One interview was basically a Machine learning course exam, asking about what I know about the basics of ML and metrics and so on. The seconed one was mostly detailed on my projects
Tell me about your experience
In the coding task I was asked to do a simple leetcode problem first, then a git merge and manual resolution of conflicts, and then the final part was a data analysis section. For the data analysis I had to download a dataset from Kaggle and visualise some trends in it.
Could you explain one of the latest data projects you have worked in?
1. Describe the bias variance tradeoff. 2. How would you measure the performance of a classifier? 3. What is an example of a problem where you would favor recall over precision and vice versa.? 4. Describe the main idea behind boosting along with some well known algorithms such as adaboost and xgboost. 5. Describe several options for embedding text data into a feature along with pros and cons of each. 6. Describe your favorite sorting algorithm
This is out of context, but one question I wrote down was, "What would you tell a CIO to ask a vendor when evaluating an off-the-shelf AI product?"
Initial screening was about my projects, future goals and motivations. Assignment was regarding problem with mnist.
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