#xgboost — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #xgboost, aggregated by home.social.
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Comparative Analysis Of Seagrass Biophysical Properties Mapping Using Multi-Resolution Satellite Imagery And Machine Learning In The Shallow Waters Of Teluk Pandan, Lampung, Indonesia
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https://doi.org/10.1016/j.rsase.2026.102002 <-- shared paper
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#GIS #spatial #mapping #Seagrass #monitoring #conservation #accuracy #vegetation #biophysical #benthic #habitat #composition #carbonmapping #Randomforest #ExtremeGradientBoosting #XGBoost algorithms #Sentinel2 #remotesensing #sensor #shallowwater #sentinel #PlanetScope #satellite #TelukPandan #Lampung #Indonesia #AI #deeplearning #machinelearning #model #modeling #water #marine #ocean #habitat #ecosystem #spatialanalysis -
Comparative Analysis Of Seagrass Biophysical Properties Mapping Using Multi-Resolution Satellite Imagery And Machine Learning In The Shallow Waters Of Teluk Pandan, Lampung, Indonesia
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https://doi.org/10.1016/j.rsase.2026.102002 <-- shared paper
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#GIS #spatial #mapping #Seagrass #monitoring #conservation #accuracy #vegetation #biophysical #benthic #habitat #composition #carbonmapping #Randomforest #ExtremeGradientBoosting #XGBoost algorithms #Sentinel2 #remotesensing #sensor #shallowwater #sentinel #PlanetScope #satellite #TelukPandan #Lampung #Indonesia #AI #deeplearning #machinelearning #model #modeling #water #marine #ocean #habitat #ecosystem #spatialanalysis -
Comparative Analysis Of Seagrass Biophysical Properties Mapping Using Multi-Resolution Satellite Imagery And Machine Learning In The Shallow Waters Of Teluk Pandan, Lampung, Indonesia
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https://doi.org/10.1016/j.rsase.2026.102002 <-- shared paper
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#GIS #spatial #mapping #Seagrass #monitoring #conservation #accuracy #vegetation #biophysical #benthic #habitat #composition #carbonmapping #Randomforest #ExtremeGradientBoosting #XGBoost algorithms #Sentinel2 #remotesensing #sensor #shallowwater #sentinel #PlanetScope #satellite #TelukPandan #Lampung #Indonesia #AI #deeplearning #machinelearning #model #modeling #water #marine #ocean #habitat #ecosystem #spatialanalysis -
Comparative Analysis Of Seagrass Biophysical Properties Mapping Using Multi-Resolution Satellite Imagery And Machine Learning In The Shallow Waters Of Teluk Pandan, Lampung, Indonesia
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https://doi.org/10.1016/j.rsase.2026.102002 <-- shared paper
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#GIS #spatial #mapping #Seagrass #monitoring #conservation #accuracy #vegetation #biophysical #benthic #habitat #composition #carbonmapping #Randomforest #ExtremeGradientBoosting #XGBoost algorithms #Sentinel2 #remotesensing #sensor #shallowwater #sentinel #PlanetScope #satellite #TelukPandan #Lampung #Indonesia #AI #deeplearning #machinelearning #model #modeling #water #marine #ocean #habitat #ecosystem #spatialanalysis -
Comparative Analysis Of Seagrass Biophysical Properties Mapping Using Multi-Resolution Satellite Imagery And Machine Learning In The Shallow Waters Of Teluk Pandan, Lampung, Indonesia
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https://doi.org/10.1016/j.rsase.2026.102002 <-- shared paper
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#GIS #spatial #mapping #Seagrass #monitoring #conservation #accuracy #vegetation #biophysical #benthic #habitat #composition #carbonmapping #Randomforest #ExtremeGradientBoosting #XGBoost algorithms #Sentinel2 #remotesensing #sensor #shallowwater #sentinel #PlanetScope #satellite #TelukPandan #Lampung #Indonesia #AI #deeplearning #machinelearning #model #modeling #water #marine #ocean #habitat #ecosystem #spatialanalysis -
Космос из школьного кабинета: Как мы научили ИИ законам Кеплера после «разноса» от ученых
Существует стереотип, что современная наука об экзопланетах — это прерогатива NASA и ученых с миллионными грантами. Мы — команда обычных школьников и наш наставник — решили доказать, что для открытия новых миров достаточно ноутбука, Python и понимания того, что Машинное Обучение (ML) без физики — это просто генератор случайных чисел. Это история проекта ExoLogica AI : путь от сокрушительного провала на конференции до создания гибридного интеллекта, который видит то, что иногда пропускают профессиональные телескопы.
https://habr.com/ru/articles/1016416/
#экзопланеты #Астрофизика #машинное_обучение #Python #XGBoost #ExoLogica_AI #Kepler #NASA #KOI4878_b_масса #KOI4878_b
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How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures
A bioprocess engineer's journey into machine learning and why the pharmaceutical industry desperately needs this bridge When I tell people I work in bioprocess engineering, I usually get blank stares. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: "Oh, like brewing beer?" Not quite. But close enough. What I don't usually mention is that I've been teaching myself machine learning on nights and weekends. Not because it's trendy, but […] -
From Bioreactors to AI: How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures
*A bioprocess engineer's journey into machine learning—and why the pharmaceutical industry desperately needs this bridge* --- When I tell people I work in bioprocess engineering, I usually get blank stares. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: "Oh, like brewing beer?" Not quite. But close enough. The $50 Million Problem Nobody Talks About What I don't usually mention is that I've been teaching myself machine learning […] -
From Bioreactors to AI: How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures
*A bioprocess engineer's journey into machine learning—and why the pharmaceutical industry desperately needs this bridge* --- When I tell people I work in bioprocess engineering, I usually get blank stares. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: "Oh, like brewing beer?" Not quite. But close enough. The $50 Million Problem Nobody Talks About What I don't usually mention is that I've been teaching myself machine learning […] -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
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https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
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“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
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https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Crypto Price Prediction using LSTM+XGBOOST https://youtu.be/ocql7U1gSB4?si=Rel-6ygK_vl1BVgt via @YouTube #xgboost #MachineLearning #lstm #cryptocurrencies #pricepredictions
https://www.youtube.com/watch?v=ocql7U1gSB4&utm_source=flipboard&utm_medium=activitypub
Posted into NOSABLOGGISTA @nosabloggista-OluOyekanmi
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Анализ и прогнозирование погодных условий
Настоящее исследование посвящено комплексному анализу глобальных климатических изменений на основе исторических метеорологических данных за период с 1950 по 2024 год. Мы фокусируемся на шести ключевых странах, представляющих основные климатические зоны планеты.
https://habr.com/ru/articles/913712/
#Прогнозирование_погоды #Meteostat #postgresql #lstm #xgboost
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Анализ и прогнозирование погодных условий
Настоящее исследование посвящено комплексному анализу глобальных климатических изменений на основе исторических метеорологических данных за период с 1950 по 2024 год. Мы фокусируемся на шести ключевых странах, представляющих основные климатические зоны планеты.
https://habr.com/ru/articles/913712/
#Прогнозирование_погоды #Meteostat #postgresql #lstm #xgboost
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Анализ и прогнозирование погодных условий
Настоящее исследование посвящено комплексному анализу глобальных климатических изменений на основе исторических метеорологических данных за период с 1950 по 2024 год. Мы фокусируемся на шести ключевых странах, представляющих основные климатические зоны планеты.
https://habr.com/ru/articles/913712/
#Прогнозирование_погоды #Meteostat #postgresql #lstm #xgboost
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Анализ и прогнозирование погодных условий
Настоящее исследование посвящено комплексному анализу глобальных климатических изменений на основе исторических метеорологических данных за период с 1950 по 2024 год. Мы фокусируемся на шести ключевых странах, представляющих основные климатические зоны планеты.
https://habr.com/ru/articles/913712/
#Прогнозирование_погоды #Meteostat #postgresql #lstm #xgboost
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Looking for open spaces at #PyConUS? Here are the ones starting at 3:00 PM:
Room 308: Data Engineering Meetup
Room 309: #Python for Science & Research
Room 316: @gnuradio / Ham Radio
Room 318: Tabular ML (@sklearn, #XGBoost, #CatBoost, & friends)
Room 320: Pythonic Music: MIDI, Synthesis and more -
Machine Learning – Regression Cheat Sheet | How To Perform Regression
Learn about machine learning regression algorithms, tools, & tips #xgboost #randomforest #decisiontree #svm #glm #gbm. source
https://quadexcel.com/wp/machine-learning-regression-cheat-sheet-how-to-perform-regression/
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In my opinion, #R is very suitable for #MachineLearning. With R, machine learning can be easily integrated into usual #rstats data analysis workflows. #RPackages provide access to virtually all relevant machine learning algorithms like #NeuralNetworks, Support Vector machines (#SVM), #RandomForests, Extreme Gradient Boosting (#XGBoost), #WEKA algorithms, etc.
Does anyone of the @rstats group have further recommendations?
See reply for sources: 4 books on machine learning.
