2206198Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Themhttps://www.gandhi.com.mx/inside-the-machine-learning-interview-151-real-questions-from-faang-and-how-to-answer-them/phttps://gandhi.vtexassets.com/arquivos/ids/2012601/9d3689d8-3156-43e0-9789-5a21e6971e8c.jpg?v=638345195128370000648648MXNPeng ShaoInStock/Ebooks/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, youll 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....2171306Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Them648648https://www.gandhi.com.mx/inside-the-machine-learning-interview-151-real-questions-from-faang-and-how-to-answer-them/phttps://gandhi.vtexassets.com/arquivos/ids/2012601/9d3689d8-3156-43e0-9789-5a21e6971e8c.jpg?v=638345195128370000InStockMXN99999DIEbook20231230006839918_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1230006839918_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, youll 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....1230006839918_Peng Shaolibro_electonico_9bb6cf34-3a5a-37e0-a8f7-e9c73b915d3c_1230006839918;1230006839918_1230006839918Peng ShaoInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/aca3606c-c9ce-4dbf-8389-30f46f5275b5-epub-1202b797-053e-4a2e-a0c3-a5fec7dc354e.epub2023-09-14T00:00:00+00:00Peng Shao