# Advices for learning AI, ML, DL
**URL:**
**Author:**  [@ClarkEL](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FClarkEL)%5C
**Post date:** [June 29, 2024, 3:50pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fadvices-for-learning-ai-ml-dl%2F94723%2F1 "2024-06-29T15:50:55Z")
hey guys im new here , i have some questions and appreciated if u can help me.
i want to dive deep into ai, ml, dl i dont know where to start , i have done researches that says before learning those i should be familar to some topics such as
calc, statistics and probability, linear algebra,
Q)
1- how much should i know in each topics.
2- can i learn some baisc Ai, Ml without learning those topic first, like train some models manipulate data with it, just baiscs to start out.
3- are these above topics a right way to start learning or there else should i know.
4- which course should i take first, should i first learn some basic ai, ml
or start those above topic above (calc, stat and pron, linear alg)
im also a CS Student finished 2nd year, and i have worked with linear algebra, some calc and stat.
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**Author:**  [@PeterTKD](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FPeterTKD)%5C
**Post date:** [November 1, 2024, 2:23pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fadvices-for-learning-ai-ml-dl%2F94723%2F2 "2024-11-01T14:23:48Z")
(post deleted by author)
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**Author:**  [@PeterTKD](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FPeterTKD)%5C
**Post date:** [November 1, 2024, 3:00pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fadvices-for-learning-ai-ml-dl%2F94723%2F3 "2024-11-01T15:00:04Z")
Hey,
1. **How much math you need** : For basic machine learning, you don’t need to be a math expert, but a good grasp of calculus (derivatives), linear algebra (matrices, vectors), and probability/statistics (distributions, averages) will definitely help. Since you’re a CS student and already have some experience, you might find you’re more prepared than you think!
2. **Learning basics without heavy math** : Absolutely! You can start with some foundational AI/ML concepts and build simple models without deep math knowledge. This helps you get hands-on experience while gradually learning more theory as you go.
3. **Right topics** : You’ve got it—calculus, linear algebra, and stats/probability are the key areas. But don’t let it hold you back from starting ML if you’re interested; a lot of these concepts can be learned in parallel.
4. **Where to start** : 365 Data Science is offering open access to all their courses for the next 21 days, and they have beginner-friendly ML courses that could be a great start. You can get hands-on with Python, data manipulation, and model training while learning the basics at your own pace. This could give you a solid foundation and help you see where you might need more math later on.
Good luck and enjoy the journey bro!
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**Author:**  [@ClarkEL](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FClarkEL)%5C
**Post date:** [November 1, 2024, 8:44pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fadvices-for-learning-ai-ml-dl%2F94723%2F4 "2024-11-01T20:44:47Z")
Thanks for the answer i appreciated alot.
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**Author:**  [@system](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsystem)%5C
**Post date:** [November 2, 2024, 8:45am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fadvices-for-learning-ai-ml-dl%2F94723%2F5 "2024-11-02T08:45:22Z")
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