Introduction

One of the simplest models of machine learning is linear regression, but linear models are building blocks of deep neural networks and they are really important. There are two main classes of supervised learning problems, Regression and Classification. In regression, the value of the target is a real value, for example, we try to predict the salary of the given job description.
In classification, the value of the target is a finite set of classes for example if we’re given movie’s review and we try to predict the rating of a movie on a scale of one to five. …

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Manish Nayak

Machine Learning, AI & Deep Learning Enthusiasts

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