Popular Interview Question from Probability for Data-Scientists at product-based companies

AppliedAICourse.com
For more similar problems like the above, check out:
1. www.math.upenn...
2. gtribello.githu...
3. wwwf.imperial.a...

[@AppliedAICourse]

For more similar problems like the above, check out: 1. www.math.upenn.edu/~mmerling/math107%20docs/practice%20on%20Bayes%20solutions.pdf 2. gtribello.github.io/mathNET/bayes-theorem-problems.html 3. wwwf.imperial.ac.uk/~ayoung/m2s1/WorkedExamples1.pdf

[@ashish143ish]

Thank you so much for your clear explanation it defiantly helps to tackle similar problems and also thankful for providing resources to practice.

[@soumyadrip]

Thanks for the video

[@mouleshm210]

It is really helpful sir!..Thankyou

[@devasanthosh966]

Super sir I am very interesting to learn appied ai

[@shivamjalotra7919]

It was just a Bayes Theorem problem.

[@AppliedAICourse]

Yes, that’s true. But, almost 90% of candidates can’t solve this if you twist it a little.

[@srinidhi6049]

Thank you

[@dulagadu]

Sir it should supposed to be 100/(95+75) right? Why because total people attended second interview is 100 right ?

[@AppliedAICourse]

No. Since your got interviewed and also think you did well in the first round, 95 is the numerator as only 95 people are called for second interview and also think they did well in the first interview.

[@abhishekd1012]

cool I got it, even I took 200 people as example

[@AppliedAICourse]

That's a method we also like as it solves the question from more foundational concepts instead of using formulae.

[@kalshniv]

Basic Bayes problem.

[@AppliedAICourse]

Yes, it is.

[@kakhil1843]

Sir ur teching videos monday to Friday or Saturday day and sunday.

[@AppliedAICourse]

Our live sessions are only on Sundays. You can watch the videos on any day.