Now, that you have the required software installed at your machine, we will discuss a brief intro about Machine Learning and their algorithms; surfacing the picture.
We know how mad the aura of Machines could be. Imagine, the planet where we have Robots serving the purpose of homo sapiens(Sigh). Well, it creeps the hell out of us, isn’t it? But, well it is too premature to talk about the demolition of one race to another, we believe that maybe we don’t have answers to the questions which can be unlocked by the algorithms Machine Learning has to deal with! Or, maybe it’s like a bold hypothetical situation to talk about AI and Human interaction without concrete solutions to the problems we may face. But, what if we are doing okay?, what if we can deal with demon and most certainly, what if we can talk some sense through Machines and it all turns out to be good?
We at Wingshore are obsessed to make human imagination limitless with the opportunities we have in order to develop a good race out of Machines and AI. We need to find a way where they both don’t clash each other, but mutually work together in order to solve better off challenges of the world. We believe that developing a whole new race of AI is not the other way of saying ending the race oh homo sapiens. We can coexist together and in fact in a perfect manner.
So, that been said, let’s go into the deep concept of Machine Learning and their respective algorithms we will deal with. Well, our machine learning journey by understanding the real life applications we somehow faces and how these algorithms find solutions for us. So, that you all have a gist of what we are dealing in here.
Have you ever seen your Gmail account, wherein you have an “Inbox” folder and a “Spam” folder? Right? Well, how Gmail as an app finds that which of your mail is a spam and classify it the same? Well, that is because it uses one of the Machine Learning Algorithms for classifying ‘pure mails’ and ‘spams’.
Further, have you ever seen how some fraudulent credit card transactions are detected and how the bank classifies the number of transactions a customer has made and has not made? Well, this is again a magic of machine learning(Though, ML Algorithms are no magic).
From face detection to digit recognition, from speech understanding to product recommendation everywhere you will find the concept and algorithms of Machine Learning playing their vital part.
For now, you just need to understand that Machine Learning concepts are divided into 2 sub-fields-
- Supervised Learning
- Unsupervised Learning
Further, we will deal with them both individually.
So, now since you have the gist, let me tell you this journey with Machines will be awesome and I request you to fasten your seat belts, so that you don’t feel bumpy. What I mean is, start sharing the post, keep commenting and do let me know your feedback for the same. Yes, if you are elated then spread the word and like it as well. Always hungry for training the sets and your words.
Wingshore 