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The second edition of Deep Learning Interviews is home to hundreds offully-solved problems, from a wide range of key topics in AI. It is designed toboth rehearse interview or exam specific topics and provide machine learningMSc / PhD. students, and those awaiting an interview a well-organized overviewof the field. The problems it poses are tough enough to cut your teeth on andto dramatically improve your skills-but they're framed within thought-provokingquestions and engaging stories. That is what makes the volume so specificallyvaluable to students and job seekers: it provides them with the ability tospeak confidently and quickly on any relevant topic, to answer technicalquestions clearly and correctly, and to fully understand the purpose andmeaning of interview questions and answers. Those are powerful, indispensableadvantages to have when walking into the interview room. The book's contents isa large inventory of numerous topics relevant to DL job interviews and graduatelevel exams. That places this work at the forefront of the growing trend inscience to teach a core set of practical mathematical and computational skills.It is widely accepted that the training of every computer scientist mustinclude the fundamental theorems of ML, and AI appears in the curriculum ofnearly every university. This volume is designed as an excellent reference forgraduates of such programs.

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