À propos

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 M.Sc/Ph.D students, and
graduates 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 you 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.

Domaines de compétence

The book’s contents are a complete 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.