Machine Learning Interviews Book

Machine Learning Interviews Book by Chip Huyen is a comprehensive resource designed to help candidates prepare for machine learning interviews at top technology companies. The book covers a wide range of topics from fundamental ML concepts to system design questions, providing readers with the knowledge and strategies needed to succeed in competitive technical interviews.

• Comprehensive Coverage provides in-depth exploration of machine learning fundamentals, deep learning, statistics, and probability concepts commonly tested in interviews
• Interview Question Types breaks down different categories of questions including coding challenges, ML theory, system design, and behavioral questions
• Real-World Examples includes practical examples and case studies from actual interviews at major tech companies
• Study Strategies offers guidance on how to structure your preparation timeline and prioritize topics based on the role you're targeting
• Career Guidance provides insights into the ML job market, different ML roles, and what companies look for in candidates
• Free Access the book is available for free online, making it accessible to anyone preparing for ML interviews

To get started, visit the website and begin reading through the chapters sequentially or jump to specific topics you need to review. The book is structured to allow both comprehensive study and targeted preparation for specific interview types.