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See all on WikipediaList of datasets for machine-learning research - Wikipedia
PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Provides classification and regression datasets in a standardized format that are accessible through a Python API. See more
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from … See more
The data portals which are suitable for a specific subtype of machine learning application are listed in the subsequent sections. See more
As datasets come in myriad formats and can sometimes be difficult to use, there has been considerable work put into curating and standardizing the format of datasets to make them easier to use for machine learning research.
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Supervised Learning | Machine Learning | Google for Developers
See more on developers.google.comData is the driving force of ML. Data comes in the form of words and numbersstored in tables, or as the values of pixels and waveforms captured in imagesand audio files. We store related data in datasets. For example, we might have adataset of the following: 1. Images of cats 2. Housing prices 3. Weather inf…1. Supervised learning — scikit-learn 1.6.1 documentation
Jan 1, 2010 · Robustness regression: outliers and modeling errors.
A beginner's guide to supervised learning with Python
Jan 11, 2024 · The main goal of supervised learning is to train a computer algorithm on a labeled dataset, enabling it to make accurate predictions or classifications when presented with new, unseen data by learning the …
Papers with Code - Machine Learning Datasets
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense pixel annotations for 30 classes grouped into 8 categories (flat surfaces, humans, …
Supervised Learning Dataset Examples - AITechTrend
Oct 4, 2023 · Supervised learning is a popular technique in machine learning where a computer program is trained using labeled examples. In this type of learning, the algorithm learns from a …
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EarthView: A Large Scale Remote Sensing Dataset for Self …
1 day ago · This paper presents EarthView, a comprehensive dataset specifically designed for self-supervision on remote sensing data, intended to enhance deep learning applications on …
Supervised Learning With Python: What to Know
Jun 7, 2019 · Supervised learning is a machine learning task where an algorithm is trained to find patterns using a dataset. The supervised learning algorithm uses this training to make input-output inferences on future datasets.
Supervised Learning - an overview | ScienceDirect Topics
Supervised learning is a type of machine learning where accurate predictions are made based on a set of labeled data by modeling the relationship between a set of variables (features or …
What Is Supervised Learning? - IBM
Supervised learning is a machine learning technique that uses labeled datasets to train artificial intelligence algorithm models to identify the underlying patterns and relationships between …
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