:bar_chart: Path to a free self-taught education in Data Science!
THanks for the info @SassySamurai :)
what are the mathématique prerequesties to learn machine learning
@djaballah probability, linear algebra and calculus would do if you want to begin. rest you can pick up while you studying
Probability's child, statistics, is also important.
anyone has benefitted yet from this course ? Please share your experience if anyone has
I love data science. And I want to follow this path into it. The problem is that I am very bad at probability.
Last semester I studied a lot to pass the class pf probability and statistics
Also studies a lot of combinatories. Which I don't remember so much now.
What is your advice to me?
@feperessim I would say just keep practicing and you will get better eventually...
@feperessim Coming from a mathematical background, I would say that knowing the definitions inside out helps. Humans are notoriously bad at intuitively using probability and interpreting statistics, that is why this formality with probability and statistical theory comes from, it enables us to make less mistakes by making sure that we don't do leaps unconsciously.
And practice makes perfect as with everything.
Hi, Someone can share his succes storie :smile:
Oh, now that you've asked for it :D I started taking this path around 6 months ago I think, and now I'm on Probability and Statistics, it helped me deepen my knowledge in Machine Learning and now I'm an intern in a company (gradually becoming an NLP Engineer). I'm sure I wouldn't be as efficient in understanding Machine Learning concepts was it not for the Mathematics behind it. And the courses in this path are probably the best out there, you can hardly find anything better :D
I can never thank the guys behind this project enough, specially @royshouvik :D :pray:
Thank you for your kind words @mdibaiee but it's you who deserves the credit for your success! Wish you many more :sparkles:
Waw @mdibaiee that's beautiful dude ! I'm so glad to hear this. I'm trying to motivate peoples to learn by itself. And I'm currently writing an article about. Can you share you're success story with us by writing some words. It's for the french community :smile: here is my mail, email@example.com
@janaemyfr_twitter I see! sure thing, I'll shoot you an email
Great thank you :+1: I waiting for it :)
@mdibaiee hows your studies coming along?
Hi Guy, may I ask who even use beakerX before? Or any other better place to ask such question?
@royshouvik Hey Shouvik, thanks for asking! Still on Probability and Statistics: Inference from Berkeley :bar_chart:, I'm going through my finals right now so I'm a little slower on the progress, but will reinforce right after my exams :fist: :D
@royshouvik Hey Shouvik! I recently got to Convex Optimization, but I found the material in need of more advanced topics than the ones in the path, the Linear Algebra is more advanced and it requires skills of writing and reading mathematical proofs. Do you think we could add Books to the path? I couldn't find MOOCs for these topics, but I'm currently reading "How to Prove it" by Daniel J.Velleman and then I'm going to read "Linear Algebra Done Right" by Sheldon Axler
Hey @mdibaiee It's possible that the curriculum is not perfect, and some courses require more prereq than already covered because
I didn't complete all of the courses my self :) In fact I completed very few
I knew less about Data Science at that time than today
The curriculum grew out of my own need of a decent path to follow for learning Data Science/Machine Learning which I couldn't find at that time...So I would say, feel free to discuss and suggest improvements wherever possible
I am planning to do some major overhauls to the curriculum, make it more lean and targeted ...but my hands are more than full right now :(