论文标题

深度学习访谈:来自AI的各种关键主题的数百个完全解决的工作面试问题

Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI

论文作者

Kashani, Shlomo, Ivry, Amir

论文摘要

第二版《深度学习访谈》是数百个完全解决的问题的所在地,来自AI的各种关键主题。它旨在排练面试或考试特定主题并提供机器学习MSC / PHD。学生,以及那些等待采访的人,井井有条地概述了该领域的概述。它构成的问题足够艰难,可以削减牙齿并大大提高您的技能,但它们在发人深省的问题和引人入胜的故事中构成了框架。这就是使该书对学生和求职者特别有价值的原因:它使他们能够在任何相关主题上自信,迅速地讲话,清楚,正确地回答技术问题,并充分理解面试问题和答案的目的和含义。这些走进面试室时,这些都是强大的,不可或缺的优势。这本书的内容是与DL工作面试和研究生级考试有关的众多主题的大量库存。这使这项工作处于科学趋势不断增长的趋势的最前沿,以教授一组实用的数学和计算技能。人们普遍认为,每个计算机科学家的培训必须包括ML的基本定理,而AI几乎出现在几乎每所大学的课程中。该卷设计为对此类课程的毕业生的绝佳参考。

The second edition of Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exam specific topics and provide machine learning MSc / PhD. students, and those awaiting an interview a well-organized overview of the field. The problems it poses are tough enough to cut your teeth on and to dramatically improve your skills-but they're framed within thought-provoking questions and engaging stories. That is what makes the volume so specifically valuable to students and job seekers: it provides them with the ability to speak confidently and quickly on any relevant topic, to answer technical questions clearly and correctly, and to fully understand the purpose and meaning of interview questions and answers. Those are powerful, indispensable advantages to have when walking into the interview room. The book's contents is a large inventory of numerous topics relevant to DL job interviews and graduate level exams. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. This volume is designed as an excellent reference for graduates of such programs.

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