Below are online resources used to come up with the list of questions for ML Engineers.
- Book: Python Machine Learning (Sebastian Raschka)
- Spring Board - 51 Essential Machine Learning Interview Questions and Answers
- Simplilearn - Top 34 Machine Learning Interview Questions and Answers
- Types of Machine Learning Algorithms You Should Know
- What is Confusion Matrix and Advanced Classification Metrics?
- 5 ways to handle missing value sin ML datasets
- semi-supervised ml
- gentle intro to XGBoost
- AWS XGboost
- ML fundamentals cheat sheet confusion matrix
- decision tree vs random forest
- XGboost deep dive
- Understanding AUC and ROC
- probability and likelihood
- deep learning basics intro and overview with TF
- an overview of deep learning
- CNN explained
- 20 python interview questions and answers
- 21 data science interview questions and answers
- 2 approaches to content based recommendation systems
- NLP Tokenization, Stemming, Lemmatization and POS-Tag
- long polling
- web sockets vs long polling
- Grokking the system design interview (educative.io)
- Coderust: hacking the coding interview