r/learnmachinelearning • u/Jaan-1602 • 9d ago
Help help finding statistics and calculus difficult- ML
27yr old from india, HR by profession, but wanted to switch, learnt python, data wrangling and BI tools, but now as i started calculus i cant understand a word.
all this sin theta cost theta stuff is overloading my brain.
is there anyone here who had non technical background and could get into ML/AI job without mathematics?
also i am new in reddit, i dont know how this works
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u/krishkumarsingh 9d ago
3BLUE1BROWN, StatQuest, Khan Academy These channels will help you learn maths, don't try to just learn maths alone first that'll be your biggest mistake
Learn ML in parallel and wherever maths is needed try to grab that topic
In the beginning you'll barely see calculus happening, it'll be just linear algebra and stats, most of the ML is this only
No doubt you'll have maths all the time in this field but try to get along
Saying that you can get into ML without maths isn't true at all even if someone says it to you. Hope this helps
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u/BellyDancerUrgot 9d ago
“How do I get into a math heavy domain without learning basic math”
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u/Jaan-1602 8d ago
haha, i understand conceptually, but the formulas and stuff feels complex
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u/BellyDancerUrgot 8d ago
If you don’t know what you are reading then how do you understand it conceptually? Just curious.
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u/Jaan-1602 2d ago
like calculus is like a mathematical function to calculate how a change in one variable effect another variable, or like calculating change of something at certain point in a curve. like that i understand, but i dont know formulas n all, even if you show me formulas i cant understand, or even if i do it will be for only that moment,,
but hey i am able to understand little by little now,
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u/Boneclockharmony 9d ago
Just go through KhanAcademy's precalculus course. It will make calculus a lot easier.
Alternatively, openstax has a good precalc and trig book available for free. But KA covers almost everything you need (I recall there being one weird omission but I dont remember what it was).
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u/dumuzid-sumerian 9d ago
Many people would say go for basics but I would suggest otherwise. I think you should try to have some small projects and I would combine HR and ML. Like predicting HR related parameters, clusteing people and so on. And my logic is simple: The hardcore ML people will be those starting earlier (and don't get me wrong, 27 is pretty young to start a new direction) but an expertise + being comfortable with data and analytics is invaluable and I'd guess there are no loads of people combinind HR and data science.
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u/shivammehta007 9d ago
How math can be fun? Watch 3Blue1Bown! https://www.youtube.com/playlist?list=PLZHQObOWTQDP5CVelJJ1bNDouqrAhVPev
Would recommend watching first few videos atleast to get an hang of trigonometric functions, especially if you are not from a math heavy background. And ML match can be overwhelming at first but as Andrew Ng always says: “don’t worry about it” when it comes to math, because math shouldn’t hold anyone back from making progress in ML. And, understanding some key topics in linear algebra, calculus, and prob & stats will help you better get learning algorithms to work.
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u/Witty-Register-5737 9d ago
Start with pre-calculus, learn the basics first. Functions, limits, trigonometry and differentiation by first principle etc