The interview question were based on my projects and work experience. I was asked about: 1. Time Series Forecasting 2. LSTMs 3. Skip-Connections 4. How CNN are related are technically correlation problem. 5. Initialization strategies If you think you know something, might as well research it before interview and look for alternative solutions as well.
a few SQL questions and data science fundamental questions.
Bias - Variance trade off. Explain. Difference between L1 and L2
Why did i choose to code in this way and can i think of a more efficient way
Coding questions, Machine Learning algorithm pseudo answer
Neural networks, data science , Python , R
Avez vous déjà une expérience en tant que Data Scientist ?
Do I like to work on-site? What is the use of an index in a realtional database? Python list vs dict?
Come spiegheresti la normalizzazione ad una persona che non ha mai studiato data science?
Something about time series and variation reduction
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