Is the Machine Learning Engineer Nanodegree from Udacity worth it?
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- เผยแพร่เมื่อ 24 ส.ค. 2024
- GitHub: github.com/oll...
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Cheers.
Olle - 奥利
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This is probably the greatest video ever made. Straight to the point, short but still so informational. Thanks for this review man!
Appreciate it Edward.
Cheers
I just signed up for the Udacity and Amazon machine learning nano-degree scholarship, and before starting the actual course we will be going through an Introductory course for 3 months and best 425 people will be selected for the nano-degree. Hopefully I'll be able to fight for my spot and btw your video was spot on and even helped me relax . Subscribed ✌
Hey! Same here from Indonesian
Really glad to hear. Good luck from London, fingers crossed you get the spot 👊
Best,
Olle
I've signed up too
Same here. I'm on this scholarship too
I was selected among the best 425 to get AWS machine Learning nanodegree
Hey , I’m in this course right now. This is a pretty accurate summary tbh.
Glad to hear that Chinmay.
Hey Chinmay, I recieved my acceptance mail for this course today. Did you liked it? Would you recommend it to a beginner? :)
@@shreyapurohit I don't think it's for beginners. You should have built some models earlier and have knowledge about machine learning algorithms. I have got this acceptance too.
@@KumarHemjeet okay thanks for letting me know! Still I'll check it once. 😀
@@shreyapurohit I am in the same Udacity scholar programme. But my understanding is that this review is referring to the second module (core ML engineering nanodegree) , that we will be doing if you pass the first ML Foundations module. I do agree that you need to be comfortable with Python and working with data sets.
Me: Would I recommend this video to everybody?
Me: Yes!
I am doing the Deep Learning course now. I have to say its pretty good.
Crisp and concise. Well done, Olle!
Thanks Franklin, appreciate it!
@@Olle_Green i joined a data engineering nanodegree right after seeing your video!
First sentence for you a subscription. Thank ya very much sir.
Appreciate it.
Cheers.
Criminally underrated!
Hello ! thank u for the summary I'm soo excited to get all the mentioned projects done
Good luck and have fun 👊
/ O
Really appreciate the on point answers
Thanks Amandeep, appreciate it.
/ O
I 've done some udacity nanodegrees and this is my conclusion: there is no udacity nanodegree that worth it. its basically a scam. Go for coursera and udemy and u ll find great courses.
Guess we had different experiences. To get the above mentioned projects and deploying them on AWS is to me a very practical and useful. Have done some coursera and udemy as well, so far enjoyed this one a lot with the actual humans grading and giving feedback on it, which I missed in coursera and udemy.
Cheers.
/ O
This video doesn't have all the Likes that it really deserves.
Thanks Julian. Appreciate it!
thankyou
Straight to the point. #nice
Cheers
Nice one. I am preparing to do this course. Could you provide us with a list of things, and level of competency in each that someone would need to know to be able to finish it in your timeframe? (3-4 weeks) Thanks ! :D
If you've done a few kaggle competitions, you should be good to go :)
I'd like to know what percentage of students who complete the intro course get the scholarship and how many of those receive job placement.
I'd take a guess and say it's very low. Keep your expectations low as well and use this mainly for a way to get some experience with deploying models via AWS.
Cheers
🙌🙌
Hi Olle,
Thanks for this.
which nanodegree would you recommand : ML engineer of ML Engineer for Azure ?
This discussion might help you to decide: www.reddit.com/r/sysadmin/comments/jh9klq/azure_and_aws_in_the_real_world/
Hi, pardon the late reply. Can't speak for the ML Engineer for Azure as I haven't taken that course. The only thing I can say is that I enjoy AWS and would therefore pick this course over Azure if I had to pick again.
Cheers.
As you want to know Azure ML then you have to learn about data processing, ML algo, performance metrics, hyperparameters and then packages like sklearn, numpy, pandas, seaborn once done then go into Microsoft learn to know about their packages which they frequently use those are nothing but modules for their purpose.
I dont know why youtube recommended me this video so late,,, it is a very informative video thanks,
Olle
Thanks Arnav!
I only know about HTML and a little about JavaScript and i have no experience in machine learning is it impossible for me to start this ?
Facing the samd Situation , anybody please give some advice?
Hey, to be honest: it requires that you can read and understand python code. Therefore, my recommendation would be:
1. Do a basics of python course or watch tutorials here on youtube about basic syntax.
2. Learn about algorithms and data structures (youtube or some random course)
3. Understand the basics of a machine learning workflow: A) Data cleaning and preprocessing B) Data exploration C) Model building D) Deployment
3.1 Test the A-D steps on a kaggle.com dataset to verify you get it
4. Start this course
Hope that helps, otherwise: let me know 👍
Cheers.
Olle
@@Olle_Green thank you for your advice, you are doing great!!
I think the easiness of getting your first it job depends heavily on the country you live
Hey Olle, thanks for this video. Is there a possibility of having a 1:1 paid session with you? I had a lot of questions around DS and its roadmap and it would be great to have your guidance on it.
Hi. Which Udacity data science course would you recommend for a student with some Python knowledge?
1. Think the one referenced in this video was pretty solid, so can recommend that one.
2. Also enjoyed "Data Science & Advanced Analytics Virtual Experience Program" from the forage & BCG.
Hope that helps.
Cheers
/ O
Nice
Thanks for the video... BTW can you tell me, do I have to buy subcription in AWS for the coursework ?? I don't have international Card to purchase that !
Don't know that. Think it should say on their website in terms of payment options and criterias.
Cheers Mubtasim.
/ O
please add subtitles.
Did you need much front end code for the 2nd challenge to deploy on AWS?
A lot of code for the first projects was given, and you just had to fill in parts of it. So nothing complex other than the data science parts and building the models.
So would everyone agree it's possible to make courses duration 1+ month to do them in just 2-3 weeks?
what is the first optional course about? can someone elaborate?
Think of it as an optional refresher on coding basics. The output you get from that course is to upload your own API onto PyPi, and being able to use it from any coding project. Pretty cool stuff and if you don't know it, it becomes a pretty cool concept to get your head around. But, it isn't necessary to complete the rest of the course.
I have got Full scholarship for Aws Ml Course
I also got it from code for couse help
How? Please help
@@shikharnigam1597 oh just go for udacity site sign up for their scholarship newsletters and u will get to know when they publish any new scholarship course on your mail
Hello Sir, thank you for the video. I was wondering, do you need to subscribe to AWS to make the exercises of this course?
the subscription takes a cost?
They provide everything for you in the course 👍
Meaning, at the time I did it: no cost in terms of AWS usage as long as you stick to the curriculum and don't deploy some random stuff outside of the curriculum.
Cheers
Is there a way to take it for free?
Check their cancellation policy if you can sign up for a 30-day free trial and the cancel it before it ends.
Cheers.
/ O
Hi mr 👋👋
Hi Jimmy!
Udacity courses are just overblow for me, nothing concrete. I don't like to learn the whole library, give me something small and practical to start from, if I like to continue and learn from on that foundation.
Agree. It's however not doable for these courses that has manual checking from humans when grading, too time inefficient.
The practical approach you're mentioning is probably more in alignment of "learning by doing" where you'll get an awesome github profile if you publish your small practical projects. Send it here in the comments when you feel like you got something you want to show off to the community 👍
Cheers
/ O
Hi Olle I'm Keshav
Whats up krshav
Always nice to see you here Keshav
Not like audicity courses 😲😏