Amazon interview question for Data Scientists

[gauravkarki]

I am in love with this channel due to these kind of vids. This is my second my vid of this channel. need to explore more vids.

kindly keep uploading these vids with amazing explanation. Kindly suggest a book or else will request you to write one book.

[uneditedghumtaafirta]

Great initiative!!!!
please do it more often.

[sonalnalawade]

I HV enrolled your applied ml course ...and aftr studying stats from that I am able to ans correctly 🙏

[datahat]

For the third question however, we missed an important point which considering x>= u. Here we had |x-u| >= 0 which has two parts, x-u >= 0 when x>=u and x-u <= 0 when x <= u

[shivamjalotra]

For the first question can we just say that to find the %of values between [mu - sigma] to [mu + sigma] is just the integral of Pdf from [mu - sigma] to [mu + sigma]. Which can be between [0% and 100%].

[rajbir_singh]

Very depth and nice intuition of concept .

[rikinjain]

This is a great video, please make it a series!

[qaiserali]

@Applied AI Course  Thank you so much. Please make such short videos on interview questions on a regular basis.

[pratikaphale]

Got the answer right thanks to Applied AI course. All of these basic concepts are thoroughly covered in course!!

[omkiranmalepati]

I'm trying to answer second question, I'm thinking Chebyshevs Inequality might fail in Pareto distribution as most of the data concentrate at lower x values.

[abhishekkrishna]

What if k is less than 1? Like 0.5, then in this case also, chebyshev's will not hold true. k should be >=1.

[naveenvinayak]

What ever the distribution it is, if we don't know the distribution of data we can apply Cheby shev inequality

[surajshivakumar]

Is this same as Markov's inequality?

[vijaycharankumararji]

iam looking for offline course sir, is their any option

[SankarJankoti]

Amazon data scientist interview asks DSA question

[goodgobikha]

I think the ans for last question is it actually fails when we need to predict the output using the parameter because chebeshev inequality is a non- parametric one

[shubhamchoudhary]

68% data lies in 1std dev if data is normally distrubuted.. imperial formula doesn't apply for if data is not normally distrubuted

[JaswinKasi]

What bullshit at 10:00 ? The proper interpretation is for all K's the inequality holds, it means P(X-\mu > 0) \rightarrow 0
Please don't spread stupid things on internet.