Underfitting, Overfitting, and Regularization

Lasso Regression (L1 Norm), Ridge Regression(L2 Norm), Elastic Net Regression

In my last post, we embarked on a journey to explore the various Machine Learning algorithms in detail. Starting with one of the most basic algorithms, we saw two types of regressions, namely Linear and Polynomial Regression. If you missed my post or would want to brush through the concepts,... [Read More]

Diving Deep into Linear Regression and Polynomial Regression

Learning about Linear and Polynomial Regression, Loss Functions, along with Python Code

In my previous post, we explored different branches of AI. I’m almost certain that now you might want to learn about these branches in greater detail. Worry not, I’ll surely open the gates to these subsets in the posts to come. If you missed my post, you can find it... [Read More]

Branches in Artificial Intelligence to Transform Your Businesses!

Understanding buzzwords like Machine Learning and Computer Vision

On May 8, 2018, Google I/O was held at Shoreline Amphitheatre in Mountain View, California. If you are wondering what Google I/O is, don’t worry, I’ve got your back. [Read More]

Basic understanding of Types of Artificial Intelligence for providing Ingenious Solutions!

Categories of AI based on Capabilities (ANI vs AGI vs ASI) and Functionalities

Artificial Intelligence (AI) has been the talk of the town these days. From hyperlocal startups to Multinational companies, everyone has either started using AI in their businesses or are having plans to begin in the quarters to come. It wouldn’t be wrong to say: [Read More]