Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Them
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Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Them

About the Book

Let Peng Shao, a former engineering leader at Amazon and Staff ML Engineer at Twitter, be your guide to mastering Machine Learning interviews in this comprehensive 314-page resource.

Inside, you'll find:

  • Comprehensive breakdown of the ML interview process, including all the major interview sessions: ML Fundamentals, ML Coding, ML System Design, & ML Infrastructure.
  • Proven strategies for approaching and solving a wide range of ML problems, drawing from real-world scenarios.
  • Step-by-step guidance on tackling ML coding challenges, system design questions, and infrastructure design problems.
  • Deep dive into the mindset of interviewers, understanding what they value and how to effectively demonstrate your expertise.
  • Practical examples and case studies showcasing the history of solutions to ML problems, from pioneering approaches to the state of the art.

About Peng Shao:

Peng Shao has over a decade of ML leadership experience spanning diverse industries such as social media, e-commerce, and finance. He is a former Staff ML Engineer at Twitter. He was a founding team member of Amazon Alexa, where he oversaw the speech recognition services behind the Echo and Fire TV. He also spearheaded the ML and NLP development for FactSet Fundamentals, a leading fintech product, and co-founded Roxy, a venture-backed AI startup that was acquired in 2019.

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    • Artificial Intelligence
    • Machine Learning
    • Python
    • Data Science
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About the Author

Peng Shao
Peng Shao

Peng Shao is an entrepreneur and engineer. He is a former Staff ML Engineer at Twitter. He was a founding team member of Amazon Alexa, where he oversaw the speech recognition services behind the Echo and Fire TV. He also spearheaded the ML and NLP development for FactSet Fundamentals, a leading fintech product, and co-founded Roxy, a venture-backed AI startup that was acquired in 2019.

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