convolutional product definition and usage, both continuous and discrete, and open question with regard to derivative.
Learning Developer Interview Questions
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Have you optimized a model on an edge device?
What are diferences between supervused and un-supervised learning?
What ML models did you used in your projects and why?
solve this math problem using factoring
Describe an example of a training strategy that you have successfully implemented? What tools and techniques did you use?
Tell me about yourself and your learning and development experience.
Competency and experience-based questions relating directly to the role.
Asked about the understanding about the convolution neural network
1. Tell me about yourself 2. Project 3. Coding of value of nth term of certain pattern 4. Tfidf 5. Logistics regression -squashing, sigmoid function 6. Random forest- shallow depth, Gini impurity, entropy, max depth 7. Regularisation, which one is expensive 8.
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