What is machine learning, and how should learn it?

 

What is machine learning, and how should learn it?

 Here's your answer: -

What is it?

Machine learning is a sub field of artificial intelligence where machine learns on its own using past data provided by the humans and make calculated predictions based on his training.

The term machine learning seems fancy, but it’s not as easy as it sounds.one should have a strong understanding of various python libraries (NumPy, Pandas, Scikit-Learn etc.), as well as mathematical knowledge of topics like linear algebra, probability and statistics etc.

 

How should I learn?

There are so many tutorials on YouTube for machine learning, but they are not so useful for the beginners, as they make videos thinking that you know about the libraries, and you are just here for the implementation. So, if you are new to machine learning, these videos will be really confusing as you won’t even understand what is happening.

To start machine learning, you should start with the basic libraries like NumPy, Pandas and then you can understand these tutorials. Knowing "probability and statistics" will help you understand the concepts behind the algorithms.so if you want to start with machine learning, these are the must know topics, without these you can't really understand the concepts

Machine learning is not just training the data and getting prediction, it also involves data pre-processing, data analysis, choosing the best model, make perfections after creating one model, and
upgrade it with the latest techniques etc.so to learn machine learning finding the best tutorial which helps you with every beginner aspect of machine learning is crucial