Hey Guys! This is Manas from csopensource.com – “Your one-stop destination for everything computer science” and welcome to my Machine Learning Crash Course. This course is designed to be appealing even for the people with no coding experience whatsoever.
With so much hype around Machine Learning, one would think that learning to write ML-based applications are incredibly difficult and a daunting task, but in reality, it is not like that. Writing applications that implement ML are incredibly easy. Here is a list of what you need to know,
- Basic Python knowledge, Python is a core language that is used to write ML algorithms, you will need to at least reach the point where you can write one line loops and understand how the data structures work in python.
- Basic Intuition of the ML Models, We will be systematically learning all the information on the ML models, so you don’t need to worry.
And that is it! It’s just that simple. Realistically, you cant learn ML in one day! you need practice and practice. I can’t teach you python now but you can refer the python course created by our writer, Jetendra.
Remember to keep your mind cool always while writing ML applications. If you have a disturbed mind you will not be able to concentrate on the features that you’re trying to implement. Learning ML is not that difficult, you just need dedication. Once you invest time in learning it anything is possible! In the next post, we shall learn “What does Machine Learning mean?” until then enjoy Machine Learning!
- Prerequisites of Machine Learning (my personal blog)
- Introduction to Python (my personal blog)
- My personal blog
THANK YOU ?