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18 wrz 2024 · 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...
- Reinforcement Learning
In reinforcement learning, the entity that uses a policy to...
- Clustering
Grouping related examples, particularly during unsupervised...
- Sequence Models
Machine Learning Send feedback Machine Learning Glossary:...
- Fundamentals
The terms dynamic and online are synonyms in machine...
- TensorFlow
A high-level TensorFlow API for reading data and...
- Fairness
Reporting bias can influence the composition of data that...
- Reinforcement Learning
Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of out-of-core algorithms.
16 wrz 2024 · Machine learning is a broad and rapidly evolving field, full of specialized terminology. Here’s a guide to 50 key machine learning terms, explained in simple language. 1. Algorithm. A step-by-step procedure or formula for solving a problem. In machine learning, algorithms are used to create models that can make predictions or decisions based ...
16 sie 2023 · Online machine learning is a method of machine learning where the model incrementally learns from a stream of data points in real-time. It’s a dynamic process that adapts its predictive algorithm over time, allowing the model to change as new data arrives.
27 mar 2024 · Machine learning is a subfield of artificial intelligence that uses algorithms trained on data sets to create models that enable machines to perform tasks that would otherwise only be possible for humans, such as categorizing images, analyzing data, or predicting price fluctuations.
19 kwi 2018 · What online learning is is a fundamentally different way of approaching machine learning. It’s an approach that embraces change, no matter how drastic.
19 lip 2023 · In simpler terms, machine learning enables computers to learn from data and make decisions or predictions without being explicitly programmed to do so. At its core, machine learning is all about creating and implementing algorithms that facilitate these decisions and predictions.
