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Embark on a new journey in Machine Learning

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...
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Getting your PC ready for Machine Learning

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 Hellooo... and welcome back :) So far we saw what is Machine Learning and understood how some basic ML algorithms works, what we can accomplish using these ML Algorithms. However, in order to perform these tasks we need a system to create, train, evaluate and deploy these algorithms.  As we saw earlier, the machine learning process is nothing but an algorithm that goes through each and every entry of input data and assume some weights to the features (discussed in previous article ). The process of machine learning doesn't end here. We have to evaluate the model so that it can provide most accurate results. This training and evaluation process takes place over many iterations until a required accuracy threshold is reached.  image source During the evaluation process, if the algorithm's results are poor and not up-to the mark, the algorithm goes back to the data, revisits every entry and re-adjust the weights that it initially assumed. This is repetitive and most time con...
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Getting started with Machine Learning - Part 1

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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...
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