Machine Learning Journey

Hi.. Hello... and welcome back, As this the continuation of the previous article , lets pickup from where we left off.. In previous we saw what is a Classification algorithm. In classification problem we had a set of outcomes which are quantifiable, for example: we had 2 outcomes in case of email spam filter (either the email is spam and or not spam). these outcomes are called " Classes ". So, an input dataset will contain "n" number of unique classes, and the output of the classifier always falls in any one of these unique class. Simply we can say classifier algorithm is like choosing a best answer in a multiple choice question. Here the question is  Q. whether a arriving Email is a spam or not? And the choices("Classes") will be. a. "spam" b. "not spam" The classifier has to select best answer based on the Experience(aka. learning or training), it got from looking into thousands - millions of emails. This is all about Classification. ...

From previous article , we had a glimpse of what Machine Learning is and how some special software programs called "Machine Learning Algorithms" learns from data. Every machine learning algorithm undergoes rigorous Training and Testing process till its good enough to predict an answer that is as accurate as possible.  Now, with this basic idea of Machine Learning and Algorithms, let us see how can we prepare and get started. To begin any journey we need some basic things required for that journey, a plan (of how we travel), and most importantly the destination. Likewise, for Machine Learning, what is the motive for us to do this, what kind of problem we are trying to solve, and do we have enough " DATA " to explore about that problem and find patterns and solutions from it.  Picture: www.bigdataframework.org Lots and Lots of Data is the backbone for Machine Learning. This data can be anything from numbers, texts, pictures, videos, audios etc. We just need appropriat...

Hello World..!!! 😃 I am Sai, enthusiast in anything that spark my curiosity. This is my first "Blog" in my life time. The reason for me to create this blog is,      1. So far I haven't thought about this.     2. I haven't had a endeavor that was long enough for me to keep track of and talk about.     3. Also, I haven't done anything that was so vast and deep. So, here I'm, creating my first blog for "Machine Learning".  Before diving into the topic, Let me tell you a bit of my background. Basically I'm an Undergraduate in Electronics and Communication Science, did my studies in Chennai, India.  I am sort of practical oriented person, due to which most often, I doze off whenever there are long lectures or theories that were delivered in a way that I'm not curious enough to listen.  I was mostly self involved and Intuitive. I always used to ponder upon creative ideas to improve something that are either repetitive or tedious. My curiosity...