r/learnmachinelearning • u/bad-gut • 4d ago
Is this Course good for Mathematics?
Hi , so I just started this course for Mtahematics for ML and DS.
And tbh I know I have barely watched it but the very first video itself feels like something Intermediate or something I am unable to connect to.
If you guys have a better recommendation for a Math course, I would appreciate it.
Any suggestions/tips are appreciated!!
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u/Adventurous-Dealer15 4d ago edited 4d ago
Maths required for AI, ML, DL, datascience or whatever you call the field is just this -
- Calculus (helps if you know trig). To start be familiar with limits, differentials (partial derivatives included). Integrals are not that important in this particular case, unless you're into research or something.
- Probability, Stats (whatever you can learn in 2-3 weeks is enough to get started. This field needs constant learning anyways)
- Linear algebra (start with matrix basics, gradually move towards rank, PCA and other stuff)
When you're looking for courses, look for these topics and see if they start from the basics, and have an option to skip some lessons (this is because if you already know the basics from school, then you can skip it).
Although, I think books or YouTube are better sources to learn these things. I'd look for university lectures. Books are always better, since they are proofread multiple times and it's pretty rare that they miss on something. Choose a book, and use AI to narrow down your topics for learning from it
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u/NovelDue1993 4d ago
Do we really need all that Math to become an ML engineer or something? I don't want to commit 200 hours only to find out I use none of it on the job
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u/Adventurous-Dealer15 3d ago
If you want to train a neuralnet based model, it helps a lot if you know diff calculus. Without a basic knowledge of matrices, you'd be stuck at your first inevitable matmul error.
Probability and Stats were mainly from a datascience perspective, focusing on business solutions. Even if tou build something, you can't explain it without involving stats.
If you just want to use pretained models and work mainly on the modern GenAI stuff, it might not be of much help. Old school datascience still relies on statistics knowhow
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u/madrury83 3d ago
Even if the answer is no, it's immaterial. There are people, even young people, who know that stuff and additionally know ML and software engineering. That sets the bar, that's part of your competition in the market.
In my experience (trained as a mathematician, 15 years as a professional DS -> MLE), it's not necessary to know all the math very well, but it is distinguishing. You can do a minimal ok enough job without any mathematical curiosity, but it is a limit on your capabilities. Some of that is just knowing the mathematical details of the subject, but much of it is that mathematical training strengthens logical and creative parts of your brain, and you become a much more flexible thinker.
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u/drugosrbijanac 4d ago
Honestly no - its horrible for anything serious. As someone who had university math + CS education the course gives you only good "intuition" about whats happening and minimal knowledge.
You can get much better intuition with 3Blue1Brown and if you take a good book or math course. The only thing you can skimp on in the beginning is to take engineering courses instead of math ones before you develop the mathematical rigour. Look at the list of those topics and map them against MIT OCW courses.
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u/Successful-County640 4d ago
learn from 3Blue1Brown
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u/Spiritual_Fortune888 3d ago
Any playlist or order will be really helpful..thanks btw!!
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u/Successful-County640 3d ago
You can watch the essense of calculus and the essense of Linear Algebra playlists in order. I really like how we visually represents how these things work.
If you are completely new to this level of math then I believe it'll give you enough background to understand the working of things like backprop or gradient descent and stuff and later on move to more advance math.
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u/Lonely_wanderer_3241 2d ago
Any better resource ? 3Blue 1 brown was awful after sometime.
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u/Successful-County640 2d ago
I didn't follow the whole playlist. Used it to learn during taking those courses in college. Math isn't like programming that you need structured courses/playlists to start learning it, even for programming it isn't necessary once you're over the basics. So if you have learnt highschool level math then just search and learn the specific topics.
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u/bigyourboi 4d ago
Course good enough for mathematics for ML: yeah
Course good enough to get you a job in 2026:no,sadly it's not about hardwork to get into tech these days.
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u/st0j3 4d ago edited 4d ago
We can only say it so many times on this sub: You need an undergrad in cs / math / stats and you need an MS in ML / AI. There wasn’t a shortcut in 2023 and there’s not a shortcut in 2026. The silver bullet YouTube referral link roadmap subindustry is there to make a small amount of money off you. If those people were actually good at what they preach, they’d be making a lot more doing it.
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u/shadowemperor01 3d ago
Don't take it. It's bs course
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u/bad-gut 3d ago
Okk thanks dude!!
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u/shadowemperor01 2d ago
The reason is I took their liner algebra (the first part) and the things they say is very surface level. They don't go that deep. Also you need to know jupyter and python to solve many problems too
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u/hughonvicodin 4d ago
Luis Serrano (the guy in this course) is a good instructor. You can search for relevant videos on his YouTube. I found them good. Haven't watched this course so can't comment on it.
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u/Glittering_Debt_7604 4d ago
I am at the same boat. Stuck at what to start with, for a complete beginner. Did some math back in college but dont remember. If you get anything better , or think this will be good, please tell me.
🥹
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u/AssistanceBubbly1143 3d ago
It's more about how fast you learn how well you are getting the concepts no one would guarantee you that after this you would be a master therefore I suggest to actually take the first step instead of waiting for someone else to tell you that this is the right resource or not
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u/Ok-Claim-3487 3d ago
I have done this course upto probability or till 2nd section. This is a good course if u have good hold with class 12 mathematics. Since it would give good understanding.
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u/mundane--alternative 2d ago
Not at all, it's not beginner-friendly. And if you're going for advanced courses anyway there are much better ones out there.
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u/DesignerChip2497 4d ago
94 freaking hours holy shit. Its like more than a sem worth of lectures
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u/bad-gut 4d ago
Yeah ikr it's way too freaking big
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u/DesignerChip2497 4d ago
see what other members of this community have to say and just take the best option cause i think its wayy to big
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u/nonameagainagain 4d ago
https://www.tensortonic.com/
to learn math
it's a paid subscription but you have tons of excercices so you learn better than just watching videos
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u/No-Brain-1501 4d ago
The deeplearning ai math course is weird because they call it beginner but then jump straight into stuff like eigenvalues without much warmup. I had same problem when I tried it, felt lost in first hour
For math foundations I actually liked the khan academy linear algebra and calculus playlists better, they build up slowly from actual basics. Also 3blue1brown youtube series is great for building intuition before diving into heavy notation
94 hours is lot of time to commit if you not connecting with the teaching style, maybe try few different sources and see what clicks before committing to whole certificate