Cracking the Data Science Interview: 101+ Data Science Questions & Solutions - Paperback
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Covers essential prerequisites: statistics, probability, linear algebra, and computer science for a strong foundation
Includes 18 big ideas in data science such as bias-variance tradeoff and cloud computing to deepen conceptual understanding
Features a wide range of interview questions across machine learning, non-machine learning tools, and case studies for comprehensive preparation
Case studies from leading companies like Amazon and Uber provide real-world context and insights
Compact and clean format tailored for efficient study and review
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Report copyright infringement by Maverick Lin (Author) Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then present