Machine Learning Articles

Alyssa Schroer

Updated on October 23, 2024

Take a look at the artificial intelligence companies working to make change across a wide range industries.

Anas Al-Masri

Updated on October 23, 2024

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.

Artem Oppermann

Updated on October 23, 2024

Deep learning uses multi-layered structures of algorithms called neural networks to draw similar conclusions as humans would. Here’s how it works.

Vatsal Patel

Updated on October 22, 2024

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.

Mór Kapronczay

Updated on October 22, 2024

A language model is a probability distribution over words or word sequences. Learn more about different types of language models and what they can do.

Artem Oppermann

Updated on October 22, 2024

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.

Gokul S. Kumar

Updated on October 22, 2024

A neural network is a series of algorithms that identifies patterns and relationships in data, similar to the way the brain operates. Here's how they work.

Judah Taub

Updated on October 22, 2024

It’s all about asking the right questions.

Gordon Gottsegen

Updated on October 21, 2024

Machine learning is at the helm of social media, self-driving cars and more daily applications.

Ryan Elmore

Updated on October 17, 2024

Prompt engineering is the process of optimizing the performance of generative AI models by adjusting written text, code and other inputs. Here’s a deep dive into prompt engineering techniques, best practices and applications.