Train ML models using iris flower data set
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."
8,202 machine learning interview questions shared by candidates
Typical questions about your background
Can you describe how XGBoost work?
Popular ML components like LSTMs, Transformers, CNN etc. Building ML models in the context of speech recognition/NLP and advantages or shortcomings of each approach. These have to all be addressed while building an ML pipeline. Know your own projects in detail and why certain models were used vs. others
Regularization, Over-fitting, Unbalanced data, ResNet, CNNs, C++ Inheritance
Your solutions to improve the code retrieval system
High level design questions about designing a distributed system for url shortening and scaling that system for millions of requests per second to that url
What is SVM and how to do hyperparameter tuning in SVM?
Write an algorithm to merge two sorted arrays
Machine learning questions about binary classification
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