"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
In the initial discussion, they have asked basics about Machine Learning, Machine Learning Algorithms. They have asked related to CNN, RNN, LSTM, different deep learning frameworks like Tensorflow, Keras, PyTorch, Difference between Tensorflow 1.x and 2.x, and the difference between Keras and Tensorflow. They have asked related to projects which I have mentioned in my resume. In coding assessment round, they gave some tasks to perform in particular deadline.
mathematical formula of Sigmoid function
It mostly consisted in knowledge questions (describe backprop, PCA, questions about C++).
Why should they hire me over the other 100s of applicants?
what are some of the machine learning projects you have worked on?
Explain the importance of activation functions?
Cómo implementar un sistema para inferir en un parámetro de sus sistemas
Tell me about yourself in English
Explain partial dependence plots and Shap values.
Perchè ho applicato per la posizione
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