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…Jul 25, 20222Jul 25, 20222
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…Jan 30, 2022Jan 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…Jan 27, 20211Jan 27, 20211
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.Jan 30, 2021Jan 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…Feb 11, 20213Feb 11, 20213
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…Mar 6, 2021Mar 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…May 31, 2021May 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…Aug 18, 2021Aug 18, 2021
