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It's been a while since this video posted. Still a gem that seekers of the content appreciate so much.

Thanks for the video.

Whats up with the fruit stuff

Not very well explained

awesome

helpful...............my DREAMS from Somlia

my DREAMS from Somalia

Internet giant like yahoo.....................

ruclips.net/video/SJPaPKOsxg8/видео.html Awesome video please also watch and subscribe for further new video 🙏🙏

sir can the mysql data exceed the limit of pc or is it just unstructured data full of videos/audios and images that you are talking about?

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.

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Best

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?

Very Lucid introduction to Hadoop...Great...

so that's like statistics with algorithms which is hard

Excellent Explanation... Thank you

Thanks the video! Very interesting! Please check this article for further info about a BaaS or mBaaS. blog.back4app.com/2019/07/24/backend-as-a-service-baas/

As a total newbie to data this was a crazy good introduction to Hadoop (and MapR). It was to the point and used great examples.

What is the meaning of Hadoop?

Thanks Mike. I know basic knowledge of Hadoop

Great explanation.

Your Explanation was really good. I got the concept in a minute. thank u sir.

Basically a glorified Digital Actuary.

This was so well explained - thank you!!

Thanks Mike! Very useful.

Gualtieri's 5 minute explanation is actually 6:35 minutes but it was indeend great, even a practicing non-tech social worker such as me could understand and needed to, thanks Mike

Damn

Many thanks for sharing your knowledge in an easy way.

Great explanation, thank you

data "are"

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

Thanks to cover a whole picture store and processing through out!

So informative video. goo.gl/SgC1dp

i.e hapood follows parallel process???

Excellent video

Thank u sir, its a highly informative video.

This is the crappiest introduction to mBaas. Please take this video offline

A good summary of data scientist definition.

Short and crispy information. Thanks for sharing this video.

Good video, thanks bit.ly/2IkE2a1

pls make more videos on deep learning and data science

it was easy to grasp quickly thankyou

Thanks Mike for the explanation. A small suggestion would be to add animations to the video to make it more interactive.

This is amazing explanation. I am using it at my company as end user (via Hive) but I couldn't get my head around how it works on large scale.

Thanks for making it so simple

I trust this channel rather than others. you are very clear and easy explain, that's what I love it. www.traininginbangalore.com/hadoop-training-in-bangalore/

Awesome presentation, try to make video on related programming only