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ML Knowledge

3 years ago

Can you describe how Gradient Descent functions as a part of the training mechanism for deep learning models?

Machine Learning Engineer

Bloomberg

Deliveroo

Ubisoft

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3 years ago

ML KnowledgeML Case

3 years ago

Can you identify the problems that tend to surface with models that are heavily layered?

Machine Learning Engineer

Bloomberg

Yelp

Sprinklr

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3 years ago

System Design

3 years ago

Implement a video streaming application in the style of Netflix.

Machine Learning Engineer

Bloomberg

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3 years ago

ML Knowledge

3 years ago

What's involved in detecting outliers within a dataset?

Machine Learning Engineer

Bloomberg

Hitachi

Google

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3 years ago

ML Knowledge

4 years ago

What are some of the real-world scenarios where overfitting or underfitting can be problematic for model performance and accuracy? Can you share some examples?

Machine Learning Engineer

Bloomberg

Fitbit

Zillow

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4 years ago

ML Case

4 years ago

What strategies would you employ to develop a model that effectively recognizes objects in a frame?

Machine Learning Engineer

Bloomberg

Klarna

eBay

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4 years ago

ML Knowledge

4 years ago

What are the core differences in how supervised, unsupervised, and reinforcement learning algorithms learn?

Machine Learning Engineer

Bloomberg

TikTok

Grab

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4 years ago

ML Knowledge

4 years ago

What are the best practices for processing categorical data that has high cardinality?

Machine Learning Engineer

Bloomberg

Huawei

Adobe

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4 years ago

ML Knowledge

4 years ago

What is the importance of the ROC curve in the context of machine learning?

Machine Learning Engineer

Bloomberg

Amazon Web Services

Tableau

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4 years ago

ML Knowledge

4 years ago

Describe any hurdles you have overcome while working with supervised machine learning, and how did you overcome them?

Machine Learning Engineer

Bloomberg

Intuit

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4 years ago

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