What is batch normalisation and why is it needed ?
Machine Learning Interviews
Machine Learning Interview Questions
"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."
8,208 machine learning interview questions shared by candidates
Stelle einen Machine Learning Algorithms deiner Wahl vor
tell me one project you proud of
Which is your favourite machine learning algorithm?
During the live coding interview there were 4 exercises around implementing and training a joint embedding for image-text pairs with given data in PyTorch. You were allowed to use docs and resources like stack overflow (but no AI assistants).
Why do you want to work for Encord
Started of with simple questions such as Assumptions of naive bayes theorem and f1 score. Then asked about PCA, Dimensionality Reduction ,NLP tasks and some things about my projects.
- Transformers about multihead attention - evaluation of ML models and LLMs - more on system design and past projects for ML
What are your past experience. What do you see yourself in 2 years
how would you design the data analysis pipeline?
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