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Deep Learning Interviews book: Hundreds of fully solved job interview questions

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Re: Deep Learning Interviews book: Hundreds of fully solved job interview questions

#31
My problem with these line of numerous shallow books and courses are

  1) Written by people who has no experience in industry or they are not working on "real" machine learning jobs

  2) They think the standard in industry is pretty low and any BS works. For example the concept of "lagrange multiplier" is missing from the book. One need this concept to understand training convergence guarantee.

Re: Deep Learning Interviews book: Hundreds of fully solved job interview questions

#33

I've interviewed well over 100 people for DL/ML positions. This may be a good roadmap to what some people ask, but it's a terrible guide to what you should ask. It's like a collection of class exam questions. Just as in programming, the world is full of people who can recite facts but don't understand them. There is no point in asking what an L1 norm is and asking for its equation. Or say, giving someone the C++ code…

Do you have any books/material that can help the learner acquiring this deeper understanding?

I know one good reference.

https://www.deeplearningbook.org/

Also there are various courses and lectures but that needs time and effort. There is no short cuts like the book posted by OP.

Re: Deep Learning Interviews book: Hundreds of fully solved job interview questions

#34

Earlier quoted context omitted.

Do you have any books/material that can help the learner acquiring this deeper understanding?

I know one good reference. https://www.deeplearningbook.org/ Also there are various courses and lectures but that needs time and effort. There is no short cuts like the book posted by OP.

Yeah. You just have to build models, experiment, intentionally make bad decisions, and get a feel for how things work. There's no clear shortcut.

But, this is also what you will practically be doing.

Re: Deep Learning Interviews book: Hundreds of fully solved job interview questions

#36

Earlier quoted context omitted.

Bayes rule with odd ratios makes it pretty easy. base odds: 20:80 = 1:4 relative odds = (1 letter/6 letters) : (2 letters / 8 letters) = 2/3 posterior odds = 1:4*2:3 = 1:6 Final probability = 1/(6+1) = 1/7 or roughly 14.2% Bayes rule with raw probabilities is a lot more involved.

Odds are usually represented with a colon -- the base odds are 1:4 (20%), not 1/4 (25%).

[deleted]

Re: Deep Learning Interviews book: Hundreds of fully solved job interview questions

#37

This book has fun problems! Example: During the cold war, the U.S.A developed a speech to text (STT) algorithm that could theoretically detect the hidden dialects of Russian sleeper agents. These agents (Fig. 3.7), were trained to speak English in Russia and subsequently sent to the US to gather intelligence. The FBI was able to apprehend ten such hidden Russian spies and accused them of being "sleeper" agents. The A…

Likewise, in the military, the use of countersigns have been designed to make non-native speakers stand out - should the countersign be compromised. For example, in WW2, Americans would use "Lollapalooza", as Japanese really struggled with that word.

Re: Deep Learning Interviews book: Hundreds of fully solved job interview questions

#38
I actually bought this as a physical book on Amazon. Naturally it came as a print-on-demand book. Unfortunately it has many problems in this format. E.g. the lack of margins makes it hard to read the end of sentences towards the gutter. Also some text is pushed into each other. Not sure what source file format you have to provide to Amazon, but it's certainly not the pdf provided in the repo.

Edit:

It seems the overlapping text also occurs on some pdf readers: https://github.com/BoltzmannEntropy/interviews.ai/issues/2

Re: Deep Learning Interviews book: Hundreds of fully solved job interview questions

#40

This book has fun problems! Example: During the cold war, the U.S.A developed a speech to text (STT) algorithm that could theoretically detect the hidden dialects of Russian sleeper agents. These agents (Fig. 3.7), were trained to speak English in Russia and subsequently sent to the US to gather intelligence. The FBI was able to apprehend ten such hidden Russian spies and accused them of being "sleeper" agents. The A…

Likewise, in the military, the use of countersigns have been designed to make non-native speakers stand out - should the countersign be compromised. For example, in WW2, Americans would use "Lollapalooza", as Japanese really struggled with that word.

That's more of a shibboleth than a secret, which is literally a practice as old as the Bible - "And the Gileadites took the passages of Jordan before the Ephraimites: and it was so, that when those Ephraimites which were escaped said, Let me go over; that the men of Gilead said unto him, Art thou an Ephraimite? If he said, Nay; Then said they unto him, Say now Shibboleth: and he said Sibboleth: for he could not frame to pronounce it right. Then they took him, and slew him at the passages of Jordan: and there fell at that time of the Ephraimites forty and two thousand."
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