MACHINE LEARNING

MACHINE LEARNING

HLO GUYS, I AM AMIT SINGH ANG IN THIS I AM TELLING YOU ABOUT MACHINE LEARNING. SO LET'S START

Many times you were heard about MACHINE LEARNING. What does it mean? Machine learning is the scientific study of algorithms and statistical model that computer system used to perform specific task without using explicit instruction. relying on patterns and inference instead.  

                                                

One of the best example of this is GOOGLE. 

you know that it is the application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It also focuses on the development of computer programs that can access data and use it learn for themselves. 

here the process of learning begins with the observation or data such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Machine learning algorithms are often categorized as supervised or unsupervised.

Supervised machine learning algorithms can apply what has been learned in the past to new data using labeled examples to predict future events.

But unsupervised machine learning algorithm are used when the information used to train is neither classified nor labeled. Unsupervised learning studies how systems can infer a function to describe a hidden structure from unlabeled data. 

Now a days many websites are giving free and premium  lessons of machine learning. like coursera and many others. 

THANK YOU