Well few days ago I started off learning machine learning as a beginner , learnt advanced statistics before starting machine learning as its the basic blocks or prerequisite of machine learning , as I kept on learning the course I was fascinated how machine learning is playing a crucial part in todays world , how data is related to each other and how interesting things get turning out when you start recognizing patterns withing data . Well not getting much in depth of it and not getting into too much of technical stuff right now here are some terminologies that a beginner needs to understand before getting his /her hands on maching learning . At first AI , ML , deep learning might sound similar and can be confusing as well , let me give you a quick and easy understanding of these terms :-

1) AI :- Artificial intelligence is the technique or practice by which we make computers machines mimic human behavior . Example :- Amazon's Alexa or Apple's Siri or any voice assistant in general .

2) ML :- Machine learning its the technique or practice by which we train machines or computers to predict the future outcome of an event or to learn anything without being explicitly programmed .

3) Deep learning :- Its the subbranch of ML which in itself is a subbranch of AI , uses neural networks to process and extract patterns from data.

Thats all guys, this is my first ever blog ,not much into it and never tried such thing before so please excuse me if something goes wrong , will be posting more updates on the same :)