Remove 2023 Remove ML Remove Support Vector Machines
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AI-driven mangrove mapping on Farasan Islands, Saudi Arabia: enhancing the detection of dispersed patches with ML classifiers

Flipboard

This study used 2023 Landsat 8 SR data within the Google Earth Engine (GEE) platform to classify mangrove and non-mangrove areas in the Farasan Islands Protected Area in Saudi Arabia. Mangroves provide essential ecological benefits, and accurate classification is vital for their protection.

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Rustic Learning: Machine Learning in Rust Part 2: Regression and Classification

Towards AI

Last Updated on April 6, 2023 by Editorial Team Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. The articles cover a range of topics, from the basics of Rust to more advanced machine learning concepts, and provide practical examples to help readers get started with implementing ML algorithms in Rust.

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2024 Tech breakdown: Understanding Data Science vs ML vs AI

Pickl AI

As we navigate this landscape, the interconnected world of Data Science, Machine Learning, and AI defines the era of 2024, emphasising the importance of these fields in shaping the future. ’ As we navigate the expansive tech landscape of 2024, understanding the nuances between Data Science vs Machine Learning vs ai.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

Last Updated on July 20, 2023 by Editorial Team Author(s): Gaugarin Oliver Originally published on Towards AI. It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. This study by Bui et al.

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Use mobility data to derive insights using Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

We then discuss the various use cases and explore how you can use AWS services to clean the data, how machine learning (ML) can aid in this effort, and how you can make ethical use of the data in generating visuals and insights. The following reference architecture depicts a workflow using ML with geospatial data.

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Decoding Handwritten Digits: The Fascinating World of Machine Learning

Towards AI

Last Updated on April 12, 2023 by Editorial Team Author(s): Surya Maddula Originally published on Towards AI. Classification In Classification, we use an ML Algorithm to classify the digit based on its features. Support Vector Machines (SVMs) are another ML models that can be used for HDR.

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed. ML solutions encompass a diverse array of branches, each with its own unique characteristics and methodologies. Drop us a line.

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