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.
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!
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.
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.
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.