Did you know that 2.5 quintillion bytes of data is created every day? If not, this is just the tip of the iceberg. We are producing data at an accelerated pace each passing year. Data has become the new wealth in today’s Big Data era. Its not the one who…

Hi there! if you are a beginner or even an experienced professional in Machine Learning (ML)/Deep Learning (DL), you would have come across the terms parameters and hyperparameters. Ever wondered what those are? let's find out! Hyperparameters So before diving into the technical stuff, let's take an example. When we play…

Gradient Descent is one of the most widely used optimization algorithms out there. Ease of understanding and the its applicability to various ML algorithms makes it an attractive choice. How does it work though? Let’s find out! We will go through various sections mentioned below to understand this algorithm. By…

In the current age of big data, security has become a vital part. Few years back security was not shed any light upon. But times have changed and people have become more cautious and conscious about their online activity and security. If you are a person who doesn't live under…

In this article we will answer few basic questions in Machine Learning(ML) for beginners to get started! This article is meant to be concise for quick reference. 1. What is Machine Learning? The formal definition of Machine Learning is as follows Machine learning is the science of getting computers to act without being explicitly programmed …

One of the key problems every machine learning model faces is the problem of over-fitting. So what is over-fitting and how do we minimize it? What is Regularization? By the end of the article, you will be clear with these concepts. To understand these concepts we will have to answer…

Neural Networks (NN) is one of the most widely used concepts today in the world. Neural Networks are also known as Artificial Neural Networks(ANN). So what are these concepts and how do they work? Continue Reading! Artificial Neural Networks or better known as Neural Networks is defined as follows Neural…

The concept of Mean Normalization and Feature Scaling is least addressed, to say the least. So, by the end of this article, you will be clear with these two concepts. To understand these two concepts we must first answer few questions. What is Feature Scaling? What is Mean Normalization? When…

Cost functions are functions that measure the performance of a Machine Learning model given a set of data. Take a simple example of a linear regression model. The cost function of a Linear Regression model is given as All the function does is that it calculates the difference between the…