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

Shao, Peng

Softcover

ISBN 13: 9798394054303

Verlag: Independently published, 2023

Inhaltsangabe

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.

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 13: 9798394054303
• Einband: Taschenbuch
• Anzahl der Seiten: 314
• Kontakt zum Hersteller: Buchpark GmbH; https://www.buchpark.de; ; Krügerweg 1; Trebbin; Brandenburg; 14959; Deutschland