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Learning Development Coordinator Interview Questions

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11,767 learning development coordinator interview questions shared by candidates

90 min technical round - Run through the resume - Whiteboard system design with a verbal explanation (supply chain-related ML solution) Take-home assessment - System design for recommender engine Hiring manager call - Trees, regression ML question
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Machine Learning Engineer

Interviewed at Levi Strauss

3.9★
Jun 14, 2021

90 min technical round - Run through the resume - Whiteboard system design with a verbal explanation (supply chain-related ML solution) Take-home assessment - System design for recommender engine Hiring manager call - Trees, regression ML question

Questions about python, Machine Learning, whether papers had been published, questions on recursions. Oddly enough, the questions were simple... However, one person spoke very bad english and it was not possible to understand what he was saying. In Machine Learning there are a lot of acronyms PCA, R^2, TSNE, ReLU, Sigmoid... but for the life of me I couldn't understand what the person was saying.
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Machine Learning Engineer

Interviewed at Comcast

3.8★
Mar 18, 2017

Questions about python, Machine Learning, whether papers had been published, questions on recursions. Oddly enough, the questions were simple... However, one person spoke very bad english and it was not possible to understand what he was saying. In Machine Learning there are a lot of acronyms PCA, R^2, TSNE, ReLU, Sigmoid... but for the life of me I couldn't understand what the person was saying.

The questions are based around a personality assessment so are structured around a persons perceived "weak" points. The panel will have a set of questions which an academically validated platform prompts.
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Learning and Development Business Partner

Interviewed at Cell and Gene Therapy Catapult

2.6★
Jun 8, 2023

The questions are based around a personality assessment so are structured around a persons perceived "weak" points. The panel will have a set of questions which an academically validated platform prompts.

Basic questions from : Bias and Vairance trade-off, CNN, SVM with a little twist. Decision Tree, Random Forrest. Pros and Cons of these techniques. Detailed discussion on any Deep learning Architecture. ex: Transformers, wav2letter++ etc.
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Machine Learning Engineer

Interviewed at Observe.AI

2.7★
Aug 19, 2020

Basic questions from : Bias and Vairance trade-off, CNN, SVM with a little twist. Decision Tree, Random Forrest. Pros and Cons of these techniques. Detailed discussion on any Deep learning Architecture. ex: Transformers, wav2letter++ etc.

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