Questions assessed both, my soft and hard skills. I was asked about the competitions and hackathons I participated in, and most challenging situations I've faced, and how I solved them. Artificial Intelligence related questions were about some tricks and details about different AI fields and ML algorithms. I learned a lot from this part of the interview. I wasn't judged when I failed to answer some questions.
What Machine Learning frameworks do you know?
any tts research experience before
Asked to complete a technical assessment that consisted of training a classification model for predicting a disease, a regression model for predicting a blood indicator, and creating a chatbot capable of querying structured and unstructured data while using the ML models as tools.
If you're interested in the Data Scientist position, it seems like cybersecurity experience is a *hard requirement*
They asked relevant questions regarding Machine Learning and especially deep learning like activation functions, neural networks, gradient descent etc.
ML interview was average they asked related to basic ML concepts, case study, and deep learning basics
What do you think is the most important thing in machine learning?
Behavoriol questions; explain a machine learning concept using plain language.
explain the decision tree or random forest. statistics-p value python commands (what code will give us this output?) ml basics and concepts: variance etc normalize data with a specific function Matplot lib Calculate std: 95% of data are between 100 and 150 A lot if questions about svm How to prevent overfitting? Tell me about yourself and why AltaML Tell me about yourself Tell me about some of your previous projects
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