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How I Automated My Machine Learning Workflow with Just 10 Lines of Python

Flipboard

The world’s leading publication for data science, AI, and ML professionals. You don’t need deep ML knowledge or tuning skills. Why Automate ML Model Selection? It’s not just convenient, it’s smart ML hygiene. Libraries We Will Use We will be exploring 2 underrated Python ML Automation libraries.

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Maximizing Your Model Potential: Custom Dataset vs. Cross-Validation

Towards AI

Last Updated on June 14, 2023 by Editorial Team Author(s): Jan Marcel Kezmann Originally published on Towards AI. Data is the lifeblood of ML and DL models, serving as the foundation upon which they learn and make predictions. But the question of how to best utilize that data remains a topic of debate.

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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. and a kappa coefficient (KC) of 0.84. OA and 0.76

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Meet the winners of the Forecast and Final Prize Stages of the Water Supply Forecast Rodeo

DrivenData Labs

Final Stage Overall Prizes where models were rigorously evaluated with cross-validation and model reports were judged by a panel of experts. The cross-validations for all winners were reproduced by the DrivenData team. Lower is better. Unsurprisingly, the 0.10 quantile was easier to predict than the 0.90

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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker. In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Planet’s data is therefore a valuable resource for geospatial ML.

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The AI Process

Towards AI

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. When the agent is a computer, the learning process is called machine learning (ML) [6, p.

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Meet the winners of the Water Supply Forecast Rodeo Hindcast Stage

DrivenData Labs

Results of the Hindcast Stage ¶ The Water Supply Forecast Rodeo is being held over multiple stages from October 2023 through July 2024. Also, I have 10 years of experience with C++ cross-platform development, especially in the medical imaging domain, and for embedded solutions. Image courtesy of USBR.