In the realm of machine learning, data is the fuel that powers innovation. The quality and quantity of data directly influence the performance and capabilities of machine learning models. Open datasets, in particular, play an important role in democratizing access to data and fostering collaboration and innovation within machine learning.
Definition
The Machine Learning (ML) datasets are defined by the collection of data that can be used to train, test, and evaluate the model. This type of dataset makes programmers learn machine learning algorithms and execute the practical implementation of prediction. The ML dataset was collected through various domains such as image recognition, text preprocessing, and sound or speech recognition. On the internet, few resources are easily available for anyone to use, while other datasets are based on project recommendations.
Azure Open Datasets
Microsoft hosts Azure, a cloud-based platform that provides datasets used across various domains such as Finance, Healthcare, Environmental Science, and more. Due to cloud technology, it also used for deployment of ML project. Thus, this allows the datasets directly in their application and projects. The company set some terms and condition associate with licensing agreement.
Kaggle
The Kaggle is very popular among all its competitive resources. It is an online platform that involves a community of data scientists, ML engineers, and researchers. This offers a variety of tools and resources to support the project based on data science, competitions, and other collaborative learning. The Kaggle website hosts a vast collection of datasets which used in various domains such as image recognition, natural language processing, tabular data, and more. These resources can be retrieved and downloaded by any user to use for their project.
NYC open dataset
A valuable resource in the form of the NYC Open Data platform provides a range of dataset access regarding New York City. It covers many subjects including public services, transport, housing, health and others. Users can study various datasets to help them understand different operational and demographic facets of the city. The main goal of this platform is promoting transparency, accountability and innovation through sharing open data. These datasets can be accessed from NYC Open Data’s official website.
Pew Datasets
The Pew Research Center shares big groups of information. These groups of information are like online surveys. They give important details about what people think, what is happening in society, and how things are changing. Researchers and people who study things can use the details to learn more. So, these datasets are very helpful to use in machine learning training and testing.
UCI Machine Learning
This is the ML community that was first created by a researcher at the University of Irvine, California, and distributes various datasets that cover diverse domains. In addition to this, the datasets are available in various formats with detailed documentation that helps the ML audience to understand the data well. So, it is a valuable resource for both beginner and experienced users in the field.
We first looked at the definition of Machine Learning Datasets. We understood the list of ML datasets resources.
