u/AlternativeMost5619

Hi ,

I have Teslas Phone screen round this friday. The mail state to expect

For the Machine Learning Fundamentals Portion:

 

1. They like to understand the details around NN architectures you have trained and gauge your level of understanding for the details
2. Other areas they look into is type of training set, data size & augmentation, parameters, etc
3. If your NN experience is with Vision, was it for object detection, instance segmentation, was it with images or video?
4. What types of networks did you use for those efforts?
5. Fundamental NN techniques / knowledge around convolutions, numpy, batchnorm / backprop familiarity

 

For the Python Coding Portion:

 

1. How quickly can you catch problems? Think thru possible solutions and be a solid enough coder to run thru these things in your head before putting it down in code.
2. Data structure familiarity
3. Algorithmic intuition
4. Provide a clean and simple solution, that has minimal bugs and is easy to understand

I want a first hand experience on how to ace this interview and perform well to proceed for further rounds ?

 Thanks in Advance.