Getting your PC ready for Machine Learning
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...