This book contains preparation material for a data science interview. This comprehensive guide is divided into sections: linear algebra, Probability and Statistics, Data Analysis, Dataset preparation and Annotation, Machine Learning, Deep Learning, Emerging AI, ML Systems Design, CI/CD for MLOps, Cloud Computing, and Container Orchestration.
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