AML introduction (azureML / azure machine learning) data science in the cloud

00:00 Introduction
01:15 Why Data Science in the Cloud
04:10 Service Introduction
05:50 Basic concepts
06:07 Compute
07:02 Data
07:56 Notebooks
08:35 Example in portal
10:50 Experiments
11:52 Designer (no coding)
13:25 Automated ML
14:30 Endpoints
Where you can find tutorials to get started:
docs.microsoft.com/en-us/azur...
github.com/iuliaferoli/DP100
docs.microsoft.com/en-us/lear...

[@meredithhurston]

This is great, thank you! Very helpful.

[@himanshusehgal405]

Crisp and Clear ! You are amazing

[@TinaHuang1]

Awesome video 🔥🔥🔥

[@IuliaFeroli]

Thanks 🔥

[@alifiaz7792]

Basic Cloud concepts very well explained.

[@IuliaFeroli]

Thank you!!

[@balaseshasaichowdary9825]

Thanks for doing videos.....
Big fan......learning something from every video🤗

[@IuliaFeroli]

My pleasure 😊

[@shivamjalotra7919]

Thanks for making.

[@IuliaFeroli]

✌🏻thanks for watching!

[@blibeesh6018]

Whats is your opinion on the data engineer field? Its future?standardization of log files etc processed by data engineer now.can you make a video on that too?

[@sofian2209]

Hi, I'll begin study data science at MU like you before. Do you recommend to learn programming before by myself ? nice video ;)

[@IuliaFeroli]

hi! good luck with the study! Doesn't hurt to try than you can pick it up faster with the courses. You can check the website for the exact curriculum that's up to date, when I did it we started programming in Java so might be useful to look at that (unless they changed the language)

[@dhirajkale5513]

@@IuliaFeroli mam your insta id where you ask about next contain

[@sandavran3949]

Will azure certifications help significantly when you apply for an internship at Microsoft ?

[@IuliaFeroli]

I didn’t have them before I applied I took the exams once I was doing the internship and I had to study the content anyway. I’m sure it can’t hurt but I don’t think they’re necessary before an internship; but might help for a full time job. Good luck!!

[@hahah0811]

Do you think models created through ML designer have the potential to scale in production?

[@IuliaFeroli]

Sure! As long as they have a production ready architecture, with the inference cluster, availability and disaster recovery and all that I don't see why not. You can publish a designer model from the azure ML website for example and send it to kubernetes.

[@Dream4514]

Hi from where can i start learning data Science do you recommended to me to learn data Science or machine learning?

[@IuliaFeroli]

Hi! Data science is the more general field of getting insights out of data and machine learning is about creating algorithms to learn from data. You can look for free machine learning courses online to start with like the Stanford course from Andrew Ng

[@yoyomovieclips8813]

would it be Ok to learn AWS Sagemaker in place of azure ML?.I am a student and i have 75$ free credits in my aws educate account.

[@IuliaFeroli]

Sure! The services have pretty much the same principles. You can easily switch from one to the other once you understand their concepts. Good luck!

[@PankReview]

Mentor data science...
I have a question about that things..
Why are we want better laptop or system for cloud computing, because it's a totally online or network base process and not for local host...
Please give your valuable answer..

[@IuliaFeroli]

Hi! That's what I meant in the video that if you do cloud computing you don't need a good laptop anymore you can run models remotely from any device. You do need a better performing laptop if you plan on running things locally though. Good luck!

[@PankReview]

@@IuliaFeroli Mentor Iulia ...
I agree with you because I listened your video and it's good for learning cloud computing...
And waiting your next video..

[@zabashhd459]

Its too easy lol