Overview Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science We will discuss 5 must-know applications of SVD here and …
Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you …
Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, …
Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, …
Introduction Welcome to the world of Probability in Data Science! Let me start things off with an intuitive example. Suppose you are a teacher …
Note: This article was originally published on Sep 13th, 2015 and updated on Sept 11th, 2017 Overview Understand one of the most popular and …
Introduction One of the most common questions we get on Analytics Vidhya is, How much maths do I need to learn to be a …
Introduction TensorFlow is one of the most popular libraries in Deep Learning. When I started with TensorFlow it felt like an alien language. But …
Introduction Optimization is the way of life. We all have finite resources and time and we want to make the most of them. From …
Introduction Through this plan, we aim to remove the confusion in learning data science for beginners. The biggest challenge which beginners face while learning data …
