Adith Narasimhan KumarinAnalytics Vidhya(Hyper) Parameters in Machine LearningHi there! if you are a beginner or even an experienced professional in Machine Learning (ML)/Deep Learning (DL), you would have come across…2 min read·Jul 25, 2022--2--2

Adith Narasimhan KumarinAnalytics VidhyaGradient Descent — An ExplanationGradient Descent is one of the most widely used optimization algorithms out there. Ease of understanding and the its applicability to…3 min read·Jan 30, 2022----

Adith Narasimhan KumarinAnalytics VidhyaWhy Linear Regression is not suitable for classification?Have you ever wondered why there are different algorithms for every problem? Let us consider a simple example of Linear Regression and…2 min read·Jan 27, 2021--2--2

Adith Narasimhan KumarinAnalytics VidhyaCost function — A simple explanationCost functions are functions that measure the performance of a Machine Learning model given a set of data.3 min read·Jan 30, 2021----

Adith Narasimhan KumarinAnalytics VidhyaMean Normalization and Feature Scaling — A simple explanationThe concept of Mean Normalization and Feature Scaling is least addressed, to say the least. So, by the end of this article, you will be…3 min read·Feb 11, 2021--3--3

Adith Narasimhan KumarinAnalytics VidhyaNeural NetworksNeural Networks (NN) is one of the most widely used concepts today in the world. Neural Networks are also known as Artificial Neural…4 min read·Mar 6, 2021----

Adith Narasimhan KumarinAnalytics VidhyaRegularization in Machine LearningOne 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…3 min read·May 31, 2021----

Adith Narasimhan KumarinAnalytics VidhyaMachine Learning Basics Answered!In this article we will answer few basic questions in Machine Learning(ML) for beginners to get started! This article is meant to be…2 min read·Aug 18, 2021----