Give me a proper guide how to get started in machine learning. After learning python. is that really we need to be gud at math?

Question

I'm bad at math. Help me!

Answer 1

Machine learning is heavily based on linear algebra. You'll be handling giant matrices all the time and even deal with n-dimensional vector rooms. You can't do machine learning without NumPy. SciPy might help, too, it's based on NumPy and offers some further algebraic functions.

Another huge part is statistics. You need to know about mean errors, standard deviations, variances, probabilities and likelihoods. Basically every machine learning algorithm is a statistical model (linear regression, linear/quadratic discriminant analysis,...)
Most of those models are already implemented in the module SciKit-Learn, but you should at least know the concepts behind them so you know when to use which model.

The major part of machine learning isn't implementing algorithms, but understanding the data. PyPlot will help you, as you can't understand your data without looking at it in different graphs.

Answer 2

I don't know anything beyond high level concepts on machine learning. However, this seems to imply more math than I care to deal with and I was good with math.
https://gwthomas.github.io/docs/math4ml.pdf

Answer 3

You might want to start with this.
https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12

Answer 4

why did visual pradaimm

Answer 5

did you print system out print class text pacij