This book prepares you with the knowledge and skills to confidently excel in the exciting world of machine learning (ML) interviews and launch a successful career in this dynamic field. This book offers a collection of curated questions and answers to help readers understand key ML concepts, including data processing, classification, regression, clustering, dimensionality reduction, time series, and natural language processing (NLP). While not exhaustive, it focuses on critical topics and common questions often encountered in interviews. The chapters highlight essential concepts without a strict order of importance, reflecting the informal nature of ML interviews. Alongside theoretical knowledge, the book emphasizes the importance of coding and real-world application for a deeper understanding. Practical exercises, coding projects, and continuous learning are crucial to mastering ML concepts.

Machine Learning Interview Guide: Job-oriented questions and answers for data scientists and engineers (English Edition) PDF

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