Building blocks for recommender systems
The important application of machine learning is Recommender Systems. What the big websites like Amazon, Netflix, flipkart , eBay does
Hidden Layers in Neural Networks
What Are Hidden Layers? The Hidden Layers is the important topic to understand when we are working with Machine Learning models. Particularly
Ensemble Learning Techniques in Machine Learning
Let’s understand the ensemble learning, suppose you are a director of a movie and you created a short movie on
An Introduction to Chatbots
According to the existing Chatbots Alexa , Cortana , Siri , Google Home it’s a obvious there is a demand
Back Propagation and Computational Graphs in Neural Networks
Back Propagation: In Deep Learning , you are definitely heard about the back propagation at least once. In this article I
Top Most Machine Learning Algorithms
Machine Learning algorithms are very powerful techniques of a complex Machine Learning models. These algorithms are very core foundation when it’s
Ridge Regression in Machine Learning
The Ridge Regression is a regularization technique or in simple words it is a variation of Linear Regression. This is
Loss Functions in Machine Learning
In this article we will learn the Loss Functions, types and its applications.Loss function is very simple, which is used
Types of Regression Techniques
Regression analysis is an important tool for modeling and analyzing the data. And it gives the relationship between the dependent[target
Gradient Descent & Stochastic Gradient Descent
The pre-requisites for this article: 1. Enough knowledge on the terms like Model parameters,Cost function2. Calculus-First order derivatives(chain rule and power