A Quick Look at Machine learning

A Quick Look at Machine learning

Ever heard of ‘Artificial intelligence’, of course you did after all we all watch sci-fi movies. But if you ever tried to know more about AI then you might have heard about Machine learning. Also in past few years it's been a hot topic in computer science. So, what is machine learning??. Let's talk about this…,

Computer are everywhere today, even in your pocket (your phone).They help us do a lot of thing but in reality these are just calculators with logic and control circuitry.Therefore we can program them to do different tasks.But there are scenarios where we cannot predict the situation and its nearly impossible to program the computer for that.For instance , CCTV Cameras are installed at many places and surveillance has become very easy as it can be done remotely but we need a human to process the video from the cameras as a computer cannot tell us if everything is ok or not.Now imagine if the computer can automatically detect problems and take necessary decision to solve them.

For instance in case of a leakage in a chemical factory a CCTV cameras can automatically detect it and raises an alarm.You may call it Artificial intelligence in a fancy manner but there are differences between artificial intelligence and machine learning.

Machine learning looks somewhat futuristic right? Guess what it dates back to 1950s, Arthur Samuel coined the term machine learning in 1957. Machine learning as the name suggests is basically training a machine i.e. a computer with data so that it can do tasks without having to program it for that specific task.We start with a data set of numeric value that quantifies a characteristics of something.These elements are also called cases or observations.Let these be a1,a2,a3 and so on.Also there will be those values which we are trying to predict from these cases let them be b1,b2,b3…..b_n. In broad sense we are just giving an input (a case..a1,a2…) and get an output b1,b2..) more like mathematical function.

Machine learning is basically of three types,

1) Supervised Learning :

In Supervised learning we have both input and output set hence we already know output of each input.Therefore it is also called as labeled data.

2)Unsupervised Learning :

In Unsupervised learning we don’t have labeled data and patterns in the data are identified based upon similarities among elements.

3)Reinforcement Learning :

According to wikipedia “Reinforcement learning is an area of machine learning inspired by behaviourist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.” I cannot explain better than this.

Machine Learning Fun Facts

Machine learning is a subset of Artificial intelligence.

Machine learning will make things easier which were earlier tedious.

Machine learning or AI is not a threat to humanity or our lives but some of our jobs.

Applications of machine learning are everywhere today so it's not that futuristic.Also it is decades old.

You can find out more about machine learning at

Tutorials:

https://hackr.io/tutorial/machine-learning-with-python

Google Developers recipe playlist

https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal

Here a good list of free ML Books

https://www.analyticsvidhya.com/blog/2018/02/10-free-must-read-machine-learning-e-books/

You can also visit quora or similar sites for more information.

Here are some links that you might find interesting..

Q.How-do-I-learn-machine-learning?

https://www.quora.com/How-do-I-learn-machine-learning-1

Q.What is the Best website for learning ML?

https://www.quora.com/What-is-the-best-website-for-machine-learning

Q.Which are the best online courses for Machine Learning?

https://www.quora.com/Which-are-the-best-online-courses-for-Machine-learning

Thanks for making it till here..