I was trying to find someone going through a deep review like this! I’m a current CS student and wanted to reinforce some of the topics I’ve learned already. Thank you so much! Can’t wait to start!
Andrew Ng's course is one I recommend to students who struggle in some data science classes. As to the comments saying something like "it's too basic, you cannot land a job with this class": The point of Andrew Ng's class is to give a decent foundation and it does that really quite well. If you have a good foundation, you can build upon it with relative ease if and when you have to. If you don't, you'll struggle way more to acquire the skills later. And on top of this, you guys would be surprised to see how many "data science" jobs out there are relatively low-level in terms of required skills. Not every industry job will require you to know and use the latest and greatest modeling approaches. So it really depends on the sector and your role.
Totally agree with you. In fact, technical skills are just tools to achieve what business wants. What really matters in real work is understand business and have holistic vision. Many seniors in my company don't even code anymore but they are irreplaceable when it comes to strategy perspective.
Hi, I was interested to know some industries which require lower skills than the big tech. Ive been very demotivated seeing pessimism everywhere regarding ds dying or the ml bubble bursting soon. I've a lot of queries but no mentor as I come from a non tech background studying Mathematics as a major. Can we connect if it's fine with you? I'm currently taking an udemy course of Krish Naik.
@@avisehgal6178 I am not in industry, so I might not be the best person to help. I just hear from past students' experiences. What is very important when you do something like Udemy classes, is to have a small portfolio based on skills acquired in those classes. Ideally, you can get some free data sets and apply what you learned. Second, with a math major, you will be highly sought after! I would worry less about future prospects in your case. For you, gaining understanding of applications will be very easy. You already have all the math and/or can quickly work out the math. What I meant by low level skills is more: while some companies might seek a person who can work on end-to-end MLOps, which is something you'd have to get some introductory knowledge of how to deal with these things. But other companies might seek VERY low-level skills like basic statistics and knowledge of excel. So it really depends on what they are looking for. However, it is 100% easier to get the small array of tools needed to apply you math knowledge to a specific application than to gain all of that math knowledge. It really depends on what you want to do. As a Math grad, you can also just get an entry-level job or internship and learn how to use the tools on the job. And for that, there are so many jobs that would take a Math major in a heartbeat, I wouldn't even know how to begin listing them all.
I'd like to give a piece of info to you... you can chat with ChatGPT. See i started learning ML and AI early last year... and I had very less time. But I wanted to do this very badly. But I was very confused and no person to talk to about this. So I started talking to gpt... and got great roadmaps. Also for basics.. you search for ai roadmap from code basics.
I was doing IBM data science machine learning which was straight, easy and understandable structure but when I tried to go through stanford it was a bit difficult, although I am doing Master's Studies and have good continuous academic touch but stanford looks me complicated I don't know why. Instead of making difficult methodology there should be given priority to make people understood by making easy stuff.
@monicaaaalin yes, mam, I think so. But can you differentiate these two IBM vs. stanford machine learning? I mean, which one is fine ? Or just do whoever or whatever fits for us? It's a bit complicated for me to understand, I mean, where to go ? Is IBM enough or stanford? The end goal is the same, I think so if I understand IBM then it's enough? Right?
A part of my master study is Quantitative Finance, which has lots of overlap with Data Science. I don't like machine learning courses from my school unfortunately.
your youtube channel is pretty good, but i think the SEO is not set up perfectly in your youtube videos, thats why the views is low, i think i can help you, let me know
@@monicaaaalin thank you for your reply. Im interested in that part specially as i have a need for it. I believe for a collaborative filtering approach would be what need. The course is quite lengthy so trying optimize time :D does this touch mostly deep learning and tensorflow or also classical ML ?
@@Noizept as far as I remember, ML and DL are roughly like toss-up (maybe I am wrong since it's been a long time). If you need more DL stuff, maybe their Deep Learning specialization suits you more.
Hey! In my case I just used the study material including code examples and slides from the professor at school after I completed everything. I would suggest you to check Python Data Science Handbook by Jake VanderPlas. The last chapter is about machine learning and it also gives in-depth explanation of concepts and how to build models.
@@bilalshaikh6603 Urghh... Quite costly if you consider buying it from a third-world country. Also, it's only effective if you don't really know anything about ML. Good start but even too easy for entry-level, honestly.
@@ThangTatNaoNguyenHuuTri i am from 3rd world too. And you can audit this course for free but you wouldn’t get the certificate. And maths topics like calculus, multivariable calculus,linear algebra, probability should be taken before but its not mentioned. You can also read the ISL book its free and best for beginners that’s what i am planning too. I am on my math journey rn.
I have recently completed this great course and am now seeking a job.
@@nagari_ishere good luck with you!!
I was trying to find someone going through a deep review like this! I’m a current CS student and wanted to reinforce some of the topics I’ve learned already. Thank you so much! Can’t wait to start!
Good luck on your study journey!
Andrew Ng's course is one I recommend to students who struggle in some data science classes. As to the comments saying something like "it's too basic, you cannot land a job with this class": The point of Andrew Ng's class is to give a decent foundation and it does that really quite well. If you have a good foundation, you can build upon it with relative ease if and when you have to.
If you don't, you'll struggle way more to acquire the skills later.
And on top of this, you guys would be surprised to see how many "data science" jobs out there are relatively low-level in terms of required skills. Not every industry job will require you to know and use the latest and greatest modeling approaches. So it really depends on the sector and your role.
Totally agree with you. In fact, technical skills are just tools to achieve what business wants. What really matters in real work is understand business and have holistic vision. Many seniors in my company don't even code anymore but they are irreplaceable when it comes to strategy perspective.
Hi, I was interested to know some industries which require lower skills than the big tech. Ive been very demotivated seeing pessimism everywhere regarding ds dying or the ml bubble bursting soon. I've a lot of queries but no mentor as I come from a non tech background studying Mathematics as a major. Can we connect if it's fine with you? I'm currently taking an udemy course of Krish Naik.
@@avisehgal6178 I am not in industry, so I might not be the best person to help. I just hear from past students' experiences.
What is very important when you do something like Udemy classes, is to have a small portfolio based on skills acquired in those classes. Ideally, you can get some free data sets and apply what you learned.
Second, with a math major, you will be highly sought after! I would worry less about future prospects in your case. For you, gaining understanding of applications will be very easy. You already have all the math and/or can quickly work out the math.
What I meant by low level skills is more: while some companies might seek a person who can work on end-to-end MLOps, which is something you'd have to get some introductory knowledge of how to deal with these things. But other companies might seek VERY low-level skills like basic statistics and knowledge of excel.
So it really depends on what they are looking for.
However, it is 100% easier to get the small array of tools needed to apply you math knowledge to a specific application than to gain all of that math knowledge.
It really depends on what you want to do.
As a Math grad, you can also just get an entry-level job or internship and learn how to use the tools on the job. And for that, there are so many jobs that would take a Math major in a heartbeat, I wouldn't even know how to begin listing them all.
🤔 your video made me consider pursuing more knowledge in the machine learning area, seems to be quite useful in the modern era
good to hear!
Thanks I am also taking this course and I completely agree with you - from on India
Beyond AI-900 I could not figure out what next course to take. Your review convinced me to sign up for the Machine Learning course at Coursera.
I'd like to give a piece of info to you... you can chat with ChatGPT. See i started learning ML and AI early last year... and I had very less time. But I wanted to do this very badly. But I was very confused and no person to talk to about this. So I started talking to gpt... and got great roadmaps. Also for basics.. you search for ai roadmap from code basics.
i was a bit lost but i know my next step now thank you
Thank you for making this video! I just started this course. Hoping it will help me for getting ml role 😅
Do more projects and you will make it!
I was doing IBM data science machine learning which was straight, easy and understandable structure but when I tried to go through stanford it was a bit difficult, although I am doing Master's Studies and have good continuous academic touch but stanford looks me complicated I don't know why. Instead of making difficult methodology there should be given priority to make people understood by making easy stuff.
Andrew's way of teaching might not be for your flavor. I believe there is no study material that fits everyone due to individual differences.
@monicaaaalin yes, mam, I think so. But can you differentiate these two IBM vs. stanford machine learning? I mean, which one is fine ? Or just do whoever or whatever fits for us? It's a bit complicated for me to understand, I mean, where to go ? Is IBM enough or stanford? The end goal is the same, I think so if I understand IBM then it's enough? Right?
@@zahidhussainzd5576 i didn't IBM data science course, so I can't have a say.
@@monicaaaalin OK. Thanks.
amazing 🎉
Congratulations.
How you landed the job . The course only covers basics of ML
A part of my master study is Quantitative Finance, which has lots of overlap with Data Science. I don't like machine learning courses from my school unfortunately.
your youtube channel is pretty good, but i think the SEO is not set up perfectly in your youtube videos, thats why the views is low, i think i can help you, let me know
No way it can land some one a job in 2024, this course is too basic
Depends on how u use it
Bro can u recommend an Hands on full Ai ml course
And what do you actually do (I mean how do you earn money)?
Bro, let's learn the basics first. Then, we may learn the advanced stuff too.
Bro did you purchased?
Got curious on this, does it teach you on how to build recommendation systems for example ?
Yes, sometimes basic
@@monicaaaalin thank you for your reply. Im interested in that part specially as i have a need for it. I believe for a collaborative filtering approach would be what need. The course is quite lengthy so trying optimize time :D does this touch mostly deep learning and tensorflow or also classical ML ?
@@Noizept as far as I remember, ML and DL are roughly like toss-up (maybe I am wrong since it's been a long time). If you need more DL stuff, maybe their Deep Learning specialization suits you more.
Yes in the second course
I have almost completed the first course, What other resources should I follow along with these courses?
Hey! In my case I just used the study material including code examples and slides from the professor at school after I completed everything. I would suggest you to check Python Data Science Handbook by Jake VanderPlas. The last chapter is about machine learning and it also gives in-depth explanation of concepts and how to build models.
What kind of models are you working with at work?
We don't use ML models currently but quantitative models in finance like time series. Maybe some ML models in the future.
the course that is on youtube is it the same one that is on coursera ?
This course is only available on Coursera
Hey cna you please explain
Quite interesting!! I'll be very grateful if you can provide me some guidance as I'm ultra pro Max beginner. 😭
I will!
nooo moooonicaaa!!!!!!!!!!!!!!
No you wasted your money. LOl. His course is a scam.
How? its has 4.9 rating too.
@@bilalshaikh6603 Urghh... Quite costly if you consider buying it from a third-world country. Also, it's only effective if you don't really know anything about ML. Good start but even too easy for entry-level, honestly.
@@ThangTatNaoNguyenHuuTri i am from 3rd world too.
And you can audit this course for free but you wouldn’t get the certificate.
And maths topics like calculus, multivariable calculus,linear algebra, probability should be taken before but its not mentioned.
You can also read the ISL book its free and best for beginners that’s what i am planning too.
I am on my math journey rn.
@@bilalshaikh6603 Lol. Learn how to tune your models and read those papers. Don't waste time on math unless you want to do research.
@@ThangTatNaoNguyenHuuTri can you please give some more info about getting started with it.
And which publishers papers to read.