Machine Learning Glossary | Google for Developers
WEB4 days ago · This glossary defines general machine learning terms, plus terms specific to TensorFlow. Did You Know? You can filter the glossary by choosing a topic from the Glossary drop-down in the top...
Machine Learning Terminology - W3Schools
WEBWith ML, a relationship is written as y = b + wx: y is the label we want to predict; w is the weight (the slope) x are the features (input values) b is the intercept
Glossary — ML Glossary documentation - Read the Docs
WEBDefinitions of common machine learning terms. Accuracy. Percentage of correct predictions made by the model. Algorithm. A method, function, or series of instructions used to generate a machine learning model. Examples include linear regression, decision trees, support vector machines, and neural networks. Attribute.
Machine Learning Glossary — ML Glossary documentation - Read …
WEBBrief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.
Machine Learning Glossary: ML Fundamentals - Google Developers
WEBMay 8, 2024 · A non-human program or model that can solve sophisticated tasks. For example, a program or model that translates text or a program or model that identifies diseases from radiologic images...
The Most Common Machine Learning Terms, Explained
WEBApr 30, 2019 · “Machine learning” is one of the current technology buzzwords, often used in parallel with artificial intelligence, deep learning, and big data, but what does it actually mean? And what other machine learning terminology is important to understand?
Machine Learning Glossary (A to Z Terms) in ML - EnjoyAlgorithms
WEBThis is a glossary of machine learning terms commonly used in the industry. Some popular machine learning terminologies: neural networks, supervised learning, unsupervised learning, reinforcement learning, regularization, classification, regression, clustering, optimizers, outliers, bias, variance, underfitting, overfitting, normalization, etc.
AI and Machine Learning Glossary - Graphite Note
WEBJun 18, 2024 · Welcome to the ultimate guide for understanding the language of Artificial Intelligence (AI) and Machine Learning (ML)! Whether you are a data analyst, BI team member, CMO, CRO, or product team member, understanding the key terms used in the field of AI and ML is essential for staying ahead of the game.
Machine learning terminology from A to Z - Toloka: Data solutions …
WEBAutomated machine learning (AutoML) AutoML is the process of automating various complicated or time-consuming tasks in machine learning. Backpropagation. In machine learning, backpropagation is a form of supervised learning algorithm, mostly used to train feedforward neural networks. Bidirectional Encoder …
What Is Machine Learning? | A Beginner's Guide - Scribbr
WEBJun 27, 2023 · Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on developing methods for computers to learn and improve their performance. It aims to replicate human learning processes, leading to gradual improvements in accuracy for specific tasks.
- Some results have been removed
Skip to content