  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.
