Hey there, fellow tech enthusiasts!
Have you ever wondered how Google Maps can detect the best possible route for you based on traffic, climate, and many real-time updates?
Is there any person who is writing millions of lines of code to change these routes, and is it even possible to predict that in a world where everything is a surprise? So the question arises: what happens behind these user-friendly software programs?
What is Machine learning?
Machine learning (ML) is a subset of artificial intelligence (AI) that allows computer systems to learn and improve without being explicitly programmed. In simple words, it is a mechanism of computers that predicts outcomes based on their previous experiences without requiring explicit algorithms. So the outcome of machine learning could be anything based on previous data. It could have errors, lacks precision, but all the big giants still use it due to its ability to adapt to old trends.
You can see it everywhere, from your YouTube feed to Amazon's product suggestions based on your interests.
Supervised vs. Unsupervised Learning :
Based on training methods, machine learning could be classified into two main categories:
Supervised Learning : When a machine learning model is trained with input and output data from previous instances, it is said to be supervised learning.
Unsupervised Learning : When a machine learning model is trained with only input data from previous instances, and output is predicted, it is unsupervised learning.
Inside the ML Model :
Now it's time to introduce you to the secret sauce of machine learning. Hmm, any guesses?
Data. Yes, you read it right. Data is the most important thing that a company requires from you. I heard a quote in my childhood: "If you don’t pay for the product, then you are the product."
Most applications today trace your interests to derive insights from that data.
Coming back to the topic, steps involved in training the machine learning models are:
So, that's a quick introductory article about machine learning. If you're still reading, don't forget to subscribe to Coding and Circuit, where we discover insights into Programming and Electronics.
