Machine Learning Articles

Parag Radke

Updated on October 24, 2024

Monte Carlo Tree Search: A Guide

Monte Carlo tree search (MCTS) is a heuristic search algorithm for decision processes. Here’s what you need to know.

Expert Contributors

Gaming

Machine Learning

Anas Al-Masri

Updated on October 23, 2024

How Does Backpropagation in a Neural Network Work?

Backpropagation is the neural network training process of feeding error rates back through a neural network to make it more accurate. Here’s what you need to know.

Expert Contributors

Artificial Intelligence

Machine Learning

Vatsal Patel

Updated on October 22, 2024

Markov Chain Explained

A Markov chain is a stochastic model that outlines the probability of a sequence of events occurring based on the previous event. Here’s what you need to know.

Expert Contributors

Machine Learning

Data Science

Artem Oppermann

Updated on October 22, 2024

How Loss Functions Work in Neural Networks and Deep Learning

Loss functions in deep learning are used to measure how well a neural network model performs. Learn how to use the right loss function for your project.

Expert Contributors

Artificial Intelligence

Machine Learning

Judah Taub

Updated on October 22, 2024

How to Overcome Algorithmic Confirmation Bias

It’s all about asking the right questions.

Expert Contributors

Decision Trees

Data + Analytics

Ellen Glover

Updated on October 17, 2024

AutoML: What Is Automated Machine Learning?

Automated machine learning (AutoML) refers to automating the tasks of building machine learning models. Here’s a closer look at why the technology matters, its pros and cons, how it’s being used and what it means for the future of data scientists.

Machine Learning

Machine Learning Algorithms

Supervised Learning