#gradient-descent

A Gentle Introduction to Particle Swarm Optimization - Machine Learning Mastery
Particle swarm optimization (PSO) is one of the bio-inspired algorithms and it is a simple one to search for an optimal solution in the solution space.
The Secret Behind Neural Networks
Photo by Fakurian Design on Unsplash Behind every machine learning algorithm lies the bias-variance dilemma.
A Gentle Introduction To Sigmoid Function - Machine Learning Mastery
Whether you implement a neural network yourself or you use a built in library for neural network learning, it is of paramount importance to understand the significance of a sigmoid function.
A Gentle Introduction To Approximation - Machine Learning Mastery
When it comes to machine learning tasks such as classification or regression, approximation techniques play a key role in learning from the data.
A Gentle Introduction to Optimization / Mathematical Programming - Machine Learning Mastery
Last Updated on August 10, 2021
Whether it is a supervised learning problem or an unsupervised problem, there will be some optimization algorithm working in the background.
Backpropagation in Neural Networks
Photo by JJ Ying on Unsplash Have you ever used a neural network an wondered how the math behind it works?
How to train Neural Networks like a pro!
Photo by Meghan Holmes on Unsplash While stepping into the world of deep learning, a lot of developers try to build neural networks and face disappointing results.
Applications of Derivatives - Machine Learning Mastery
Last Updated on July 16, 2021
The derivative defines the rate at which one variable changes with respect to another.
Feature Scaling Data with Scikit-Learn for Machine Learning in Python
Preprocessing data is an often overlooked key step in Machine Learning. In fact - it's as important as the shiny model you want to fit with it.