How to find the difference between 2 similar looking images and mark those region with circles?
Machine Learning Research Interview Questions
1,840 machine learning research interview questions shared by candidates
Explain knn algorithm in detail and how it works?
Escribe en código la transformada de Fourier
- what is a support vector machine? - what's the difference between a Support Vector Machine (SVM) and a linear classifier? - why do I encode visual data and do not feed the SVM with raw information? - what are the convolutional neural networks and how do they work? - how would I treat a picture of a person that wear zalando clothes? - how could I deal with a multiclass classification problem with 1,000,000 different classes? - how could I possibly help zalando to improve their services?
An initial round (background/ profile based), a simple classification problem as homework, a technical interview (mostly based on how the solution was framed for the homework), an interview with a non-technical person, and a final round with their co-founder. 1. Why does multicollinearity happen in regression? 2. Working of boosted trees 3. Types of regularization 4. Overfitting and underfitting
Burning Wire Problem was asked 3 bulb puzzle was asked
If we train a network using only one image of cat. What is the output if we flip that image?
In what situation do you have to work in a group setting
1. Questions from everything on Data Engineering, Data Analysis, Data Science, Machine Learning, Deep Learning, Including some of the Company's project in detail. Look's like they need to run my code in Production.
comment fonctionnent exactement l'algorithme LGB
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