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https://www.bain.com/es-co/insights/embracing-black-box-machine-learning-models-in-business-operations/
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Jul 29, 2020 - How to balance accuracy with interpretability.
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https://issgc.org/training-ai-and-machine-learning-models-with-grid-computing/
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https://tldr.takara.ai/p/2411.09645
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The proliferation of Machine Learning (ML) models and their open-source implementations has transformed Artificial Intelligence research and applications. Pl...
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https://aitech.io/blogs/machine-learning-models-fail-production
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https://jurnal.unsur.ac.id/index.php/mjinformatika/article/view/5968
Evaluating Machine Learning Models Across Feature Extraction and Data Balancing Scenarios for...
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Choosing Machine Learning Models - Megaputer Intelligence
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10 Tips for Interpreting Machine Learning Models - Nomidl
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https://jgo.amegroups.org/article/view/116897/coif
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Development and validation of machine learning models integrating spectral computed tomography-derived three-dimensional quantitative parameters for predicting...
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A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the...
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https://clooudi.com/automating-the-deployment-of-machine-learning-models/
Automating the Deployment of Machine Learning Models - Clooudi
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Comparative Investigation of Traditional Machine Learning Models and Transformer Models for...
Phishing emails pose a significant threat to cybersecurity worldwide. There are already tools that mitigate the impact of these emails by filtering them, but...
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Prediction of nonlinear wave statistics using machine learning models trained on wave-resolving...
The modeling of nearshore hydrodynamics demands extraordinary computational power to resolve vastly different scales and processes of interest. To remain...
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Application of Global Optimization and Machine Learning Models to Refinery Programming
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Feature Engineering: Enhancing Machine Learning Models ~ Blogging Pinay
Feature Engineering: Enhancing Machine Learning Models
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https://nhess.copernicus.org/articles/23/3199/2023/
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Nov 1, 2024 - How Machine Learning Models Are Trained and Used
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Machine Learning Models and Productionization
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What Are Machine Learning Models | CitizenSide
Dec 11, 2023 - Discover what machine learning models are and how they play a crucial role in artificial intelligence. Explore their applications and benefits as well.
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https://ijai.iaescore.com/index.php/IJAI/article/view/21654/13562
Comparison of machine learning models for breast cancer diagnosis | Kadhim | IAES International...
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https://deepai.org/publication/data-acquisition-for-improving-machine-learning-models
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Machine Learning Models at Enterprise Scale - Qubole
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https://pure.psu.edu/en/publications/prediction-of-long-term-stroke-recurrence-using-machine-learning-/
Prediction of long-term stroke recurrence using machine learning models - Penn State
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Training Datasets for Machine Learning Models | Keymakr
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Comparative Study of Machine Learning Models for Sentiment Analysis of Amazon Product Reviews |...
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Machine Learning Models in Science - LiveTalent.org
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Article: Machine learning models for predicting customer churn: a case study in a...
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https://www.mdpi.com/2073-4441/15/7/1265
A Stacking Ensemble Model of Various Machine Learning Models for Daily Runoff Forecasting
Improving the accuracy and stability of daily runoff prediction is crucial for effective water resource management and flood control. This study proposed a...
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Machine Learning Models for Predicting Permanent Deformation in Railway Tracks
To enhance track geometry maintenance planning and reduce infrastructure costs, accurate predictions of accumulated permanent track deformation (settlement)...
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https://zilliz.com/ai-faq/can-ssl-reduce-bias-in-machine-learning-models
Can SSL reduce bias in machine learning models? - Zilliz Vector Database
Yes, SSL (Semi-Supervised Learning) can help reduce bias in machine learning models. Traditional supervised learning rel
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https://sujayskumar.com/2019/09/15/interpreting-machine-learning-part4/
Interpreting Machine Learning Models - Part 4 | Sujay S Kumar
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Customized machine learning models Archives - SixtySixTen
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https://www.compact.nl/articles/operationalization-of-machine-learning-models-in-audit-innovation-projects/
Operationalization of Machine Learning models in (audit) innovation projects - Compact
Oct 18, 2022 - Machine Learning (ML) is a powerful technique that has enormous potential in several domains, including audit. But it is difficult to bring ML into the
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View of Improving Accuracy: Comparative Analysis of Machine Learning Models for Prostate Cancer...
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Machine Learning Models: Overhyped or Underfed? | Business Tax Blog
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https://www.bain.com/ko/insights/embracing-black-box-machine-learning-models-in-business-operations/
Embracing Black Box Machine Learning Models in Business Operations | Bain & Company
Jul 29, 2020 - How to balance accuracy with interpretability.
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https://www.csc.liv.ac.uk/~anguyen/PhD-scholarship-Development-of-Energy-Efficient-Machine-Learning-Models/
PhD Scholarship: Development of Energy Efficient Machine Learning Models - Anh Nguyen
May 9, 2022 - Overview This project is a part of a 4-year dual PhD programme between National Tsing Hua University (NTHU) in Taiwan and the University of Liverpool. As part...
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https://scholarworks.aub.edu.lb/items/39fcaecb-9701-4bcd-b981-b4845569b347
Machine Learning Based Models Coupled with Data Assimilation Techniques for Pavement Rutting...
Rutting is one of the critical distresses affecting the safety and serviceability of flexible pavements. Modeling the progression of rutting remains a...
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Advanced Persistent Threat Detection Performance Analysis Based on Machine Learning Models |...
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https://knova.um.edu.my/research_publications_2021_2025/3058/
"Machine learning models for the prediction of total yield and specific" by Abdul Hai, G. Bharath...
Organic biomass pyrolysis to produce biochar is a viable approach to sustainably convert agricultural residues. The yield and SSA of biochar are contingent...
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Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud - ATHENE
The precise estimation of resource usage is a complex and challenging issue due to the high variability and dimensionality of heterogeneous service types and...
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https://docs.coveo.com/en/oaie5476/
Create and manage Passage Retrieval (CPR) models | Coveo Machine Learning
Learn how to create, configure, and manage Coveo Passage Retrieval (CPR) models to leverage enterprise content embeddings, improve generative AI-powered answ...
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https://research.google/pubs/grader-variability-and-the-importance-of-reference-standards-for-evaluating-machine-learning-models-for-diabetic-retinopathy/
Grader variability and the importance of reference standards for evaluating machine learning models...
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AIML - Machine Learning Engineer, Foundation Models @ Apple | AnitaB.org Job Board
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ScholarWorks :: Study on the applicability of regression models and machine learning models for...
Accurately predicting the strength of concrete is vital for ensuring the safety and durability of structures, thereby contributing to time and cost savings thro
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Deterministic numeric simulation and surrogate models with white and black machine learning methods: a case study on direct mappings
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COVID-19 and commodity effects monitoring using financial & machine learning models - University of...
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Model Monitor (M2): Evaluating, Comparing, and Monitoring Models(Machine Learning Open Source Software Paper), Info Hash:...
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Explaining patterns and outliers in machine learning models
PhD defence, Wednesday 29th April 2026, Pernille Matthews
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Models of Machine Learning to Diagnose Chronic Kidney disease using a WEKA-based Classifier |...