Is Andrew Ng’s machine learning course too mathematical?

but he no give how to execute that by coding . why ?
if you know any course can help me to that give me to link pleas

I'd work off of Karpathy's miniseries

It feels good to not just do something "because that's how it is"

I find Andrew Ng's way teaching by explaining and giving intuitions making it easier for me to understand and also going in depth help understand faster.

I tried learning from others but it's hard to understand them because they weren't diving into details but abstracted things. They explain like their talking they're talking to their colleagues, rather than to a student who has no clue and is a beginner.

I started ML with his CS229 (that blackboard one), I got saturated in 9th video out of 20 🫠

Do you really have a PhD in Mathematics? I don't consider myself good in my math and I think that Andrew's Ng's course isn't particularly challenging on the math side, specially compared to other machine learning video lectures you can find online from universities.

I would say get started with IBMs python for machine learning course, it's hand on, minimal mathematics (but its there) and a lot of implementations.

Can a beginner do this course who want to learn machine learning

Which pen are you using

much needed review of course

Great Mithuna!! yes its a great course!

Doing the same.

The math is what happens “behind the scenes.” Coming up with it on your own and deriving similar situations definitely demands great knowledge. But just using AI as a black box, much of the math can be ignored

You have a PhD in Mathematics 🙏🙌

I did his Coursera course a few years ago. As an intro for applied ML in industry its not much use. I think its better to start with some other intro courses and get an overview of different algorithms and how they are used, strengths and weaknesses, how to implement in Python, then develop a firmer intuition using books etc, then start doing hands-on, learn more tools relevant to your work, and progressively start diving into the depths of the maths etc over time. If you start purely with maths it will take you longer to be able to work in any applied setting, months and month at least. Most practical challenges in ML are with data prep, problem definition, and process related, not the depths of an algorithm.

Its a useless math, no one cares

Hi
I am shubhashish from India
I want from you to give me some tips about data science and machine learning please

a7a phd we challenging yadeny

I am on same journey...cheers to us🎉

I only have further A level maths and it was relatively easy to understand, definitely worth doing the whole specialization. I give it a lot of credit for helping me study computer science at uni

I just finished week 1 and my math is High school level but labs made it a lot easier to understand it. The last lab took a little longer to go through on my part.

send me the link pls

The math is what is kind of chasing me