3:03 In spite of that, I wonder why it would seem that Netflix's recommendation engine is worse now than when it began? I think it relates to the system getting smarter at correlation but with limited ability to discern causation. For me, it's probably coincidental if the movie soundtrack was done by the same person in my top movie picks, but the algorithm has already noted a strong correlation that I prefer movies with certain musical scores (a made up example).
It seems like there's room for a lot of this sort of error in the field.
I've noticed Netflix never gives a quick validation: "ok you gave this a thumbs up, was it mostly because of A, B, C, Other/None of the above." That would probably help.
I remember the moment where Netflix decided to go from: "here are the ratings of other users" to "here's what we think you'll rate this movie," which was always WAY off. So, I no longer had any help finding things I'd like. You liked this one movie that most people disliked? It must be because you love bad movies. Here are all the worst movies. You're welcome. That was a terrible change. It's been that way since.
I think it's easier for a human to predict and navigate a simple algorithm, than it is for a complex algorithm to predict human behavior/choices/preferences. So, the use of such algorithms makes sense for predicting things which do not depend on preference, but are instead complex interactions which seem random, such as modeling weather. It can absolutely be a hindrance elsewhere if forced, such as in the Netflix example.
I graduated from both Electrical engineering and information system science. I started my career as a programmer analyst, system analyst, and business intelligent analyst. Then later on, I became a data analyst where I used mathematics such as linear regression, auto-correlation, ARIMA, Hyper-geometric, and Cochran's Theorem to analyze and present data in a meaningful way. So Mike, am I qualified to be a data scientist?
As flies to wanton boys are we to the gods, they kill us for their sport. Soon the science will not only be able to slow down the aging of the cells, soon the science will fix the cells to the state and so we will become eternal. Only accidents, crimes, wars, will still kill us but unfortunately, crimes, wars, will multiply. I love football. Thank you. – Brandon Caro
Hi Mike, Thanks for your such an excellent explanation. But I am sorry to say that I am barely understand what you said. As your voice is echo. Can you please again record and upload .
i'm have 2 yrs exp from electronics background but whenever i went to interview for data analyst they ask me ab8 my work experience in data science i told them i completed data science project during course , i don't know what they really want
everyone has different requirement for jobs other than M.L, Python , R , Statistics some of them want SQL, Tableau , Hadoop , AWS , NLP , AI, Deep Learning should I have to learn all of this ..?
So it's someone who looks at feedback from costumers and finds patterns in the data? This data can then be used to find solutions or necessary acts that will improve the user experience of a firm? Correct me if im wrong pls
One answer about scientists they never begging a specific job for surviving they are detectives they don't care who you are and how big you feel your inside , they never want anything from anybody , who can provide he never needed to borrow.
Hi, I'm attempting to attend a data science immersive bootcamp. I used to be a marine biologist and got severely injured on the job. I can not return to working on a boat. please see this link for more info. Thank you .https://www.gofundme.com/andrewcarl-education
Thank you Mike. I am 19 years old and I want to discover new trends in my online community. In my high school, I was among the top students in math. How should I start now to be a very successful data scientist in the next 5-10 years?
could u please say sth about the business analytics major's placement? because it is not professional as computer science and statistic , nor professional from finance guys.
why the hell are u guyz bothered about his shirt !! r u guyz looking for a perfect person who wear neat and tidy dress or bothered about the content which is he talking about! crazy people
3:03 In spite of that, I wonder why it would seem that Netflix's recommendation engine is worse now than when it began? I think it relates to the system getting smarter at correlation but with limited ability to discern causation. For me, it's probably coincidental if the movie soundtrack was done by the same person in my top movie picks, but the algorithm has already noted a strong correlation that I prefer movies with certain musical scores (a made up example).
It seems like there's room for a lot of this sort of error in the field.
I've noticed Netflix never gives a quick validation: "ok you gave this a thumbs up, was it mostly because of A, B, C, Other/None of the above." That would probably help.
I remember the moment where Netflix decided to go from: "here are the ratings of other users" to "here's what we think you'll rate this movie," which was always WAY off. So, I no longer had any help finding things I'd like. You liked this one movie that most people disliked? It must be because you love bad movies. Here are all the worst movies. You're welcome. That was a terrible change. It's been that way since.
I think it's easier for a human to predict and navigate a simple algorithm, than it is for a complex algorithm to predict human behavior/choices/preferences. So, the use of such algorithms makes sense for predicting things which do not depend on preference, but are instead complex interactions which seem random, such as modeling weather. It can absolutely be a hindrance elsewhere if forced, such as in the Netflix example.
poop
I graduated from both Electrical engineering and information system science. I started my career as a programmer analyst, system analyst, and business intelligent analyst. Then later on, I became a data analyst where I used mathematics such as linear regression, auto-correlation, ARIMA, Hyper-geometric, and Cochran's Theorem to analyze and present data in a meaningful way. So Mike, am I qualified to be a data scientist?
As flies to wanton boys are we to the gods, they kill us for their sport. Soon the science will not only be able to slow down the aging of the cells, soon the science will fix the cells to the state and so we will become eternal. Only accidents, crimes, wars, will still kill us but unfortunately, crimes, wars, will multiply. I love football. Thank you. – Brandon Caro
Like for this to actually come true.
who hear fro ms.dovi premium snap
why am I watching this I love Rebecca Dovi
This guy looks like my uncles cut off wrist
im sad now
so that's like statistics with algorithms which is hard
Basically a glorified Digital Actuary.
Hi Mike, Thanks for your such an excellent explanation. But I am sorry to say that I am barely understand what you said. As your voice is echo. Can you please again record and upload .
i'm have 2 yrs exp from electronics background but whenever i went to interview for data analyst they ask me ab8 my work experience in data science i told them i completed data science project during course , i don't know what they really want
everyone has different requirement for jobs other than M.L, Python , R , Statistics some of them want SQL, Tableau , Hadoop , AWS , NLP , AI, Deep Learning should I have to learn all of this ..?
Good explanation
So informative video.
https://goo.gl/SgC1dp
Thank u sir, its a highly informative video.
A good summary of data scientist definition.
Good video, thanks http://bit.ly/2IkE2a1
So it's someone who looks at feedback from costumers and finds patterns in the data? This data can then be used to find solutions or necessary acts that will improve the user experience of a firm? Correct me if im wrong pls
Awesome presentation, try to make video on related programming only
Jah Rastafarai, Bob Marlay famalam big up, Al Gore Riddims man.
Thanks Mike Gualiteri
One answer about scientists they never begging a specific job for surviving they are detectives they don't care who you are and how big you feel your inside , they never want anything from anybody , who can provide he never needed to borrow.
Hi, I'm attempting to attend a data science immersive bootcamp. I used to be a marine biologist and got severely injured on the job. I can not return to working on a boat. please see this link for more info.
Thank you .https://www.gofundme.com/andrewcarl-education
muy claro y acertado
This dude needs an iron. That shirt is fresh.
A high level of intuition is also a good skill! A skill that cannot be taught, you either possess it or you do not!
Good vid
Only TRUE data scientists can answer : What is black and banyak peluh?
A master in mathematics is key for this job.
Whos watching in 2017? Wow
SO SEXY
5:29
Plz tell me
But what should I study to being a data scientist
i sell domain cocain.taxi … thank you for attention
Good information thank you
One of the core fundamentals in computer science is developing algorithms.
good video…
Very good description.
Thank you Mike. I am 19 years old and I want to discover new trends in my online community. In my high school, I was among the top students in math. How should I start now to be a very successful data scientist in the next 5-10 years?
Very informative. Big up to the Bob Marley picture in the background..
could u please say sth about the business analytics major's placement? because it is not professional as computer science and statistic , nor professional from finance guys.
Thanks a lot . Now I'm more motivated to study it
Just Excellent >> +10,000,000 🙂
Bob Marley is the best Data Scientist known to mankind. Data Data Data.
Mike, thank you for the clear insight.
why the hell are u guyz bothered about his shirt !! r u guyz looking for a perfect person who wear neat and tidy dress or bothered about the content which is he talking about! crazy people
Great explanation.
So what's the difference between a programmer and data scientist.
you can find data science tutorials at our channel