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How to get datasets for Machine Learning?

Knowledge Hut

Datasets are the repository of information that is required to solve a particular type of problem. Datasets play a crucial role and are at the heart of all Machine Learning models. Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data.

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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. As businesses grow, so does the variety of these datasets and the complexity of their handling requirements.

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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. What is a Data Science Dataset?

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A Dive into the Basics of Big Data Storage with HDFS

Analytics Vidhya

It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers. It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya.

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5 More Command Line Tools for Data Science

KDnuggets

Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.

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7 Computer Vision Projects for All Levels

KDnuggets

Each project, from beginner tasks like Image Classification to advanced ones like Anomaly Detection, includes a link to the dataset and source code for easy access and implementation.

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A Brief Introduction to Papers With Code

KDnuggets

One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

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