LLMs are not the only transformer-based models that you can explore in repos like HuggingFace. #ai #mlmodels #huggingface #modelecosystem
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#MLModels
Posts tagged #MLModels on Bluesky
Predicting HIV testing status in pregnant women using balanced machine learning models: Insights from Sierra Leone's demographic health survey
Researchers show #SMOTE-enhanced #MLModels improve prediction of #HIV testing gaps in #PregnantWomen in Sierra Leone, with #RandomForest achieving best performance, supporting targeted strategies to prevent vertical transmission.
#IDSky #EpiSky
#OpenAccess: doi.org/10.1016/j.dc...
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How To Detect Unwanted Bias In Machine Learning Models ?
Is your AI model biased? Discover how to identify hidden proxy variables, apply fairness metrics, and understand LLM behavior with our complete ML bias guide.
www.nbloglinks.com/how-to-detec...
#LLM #AI #ML #MLmodels #AIBias #AIfairness
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Feature Engineering Best Practices A Guide for Data Scientists
www.youtube.com/post/UgkxvhZ...
#FeatureEngineering #DataScience #MachineLearning #MLModels #DataPreprocessing #AI #DataScientists #ModelAccuracy #DataTransformation #TechInsights #Analytics #BigData #MLBestPractices #EkasCloud
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Feature Engineering Best Practices: A Guide for Data Scientists
#FeatureEngineering #DataScience #MachineLearning #MLBestPractices #DataPreparation #DataPreprocessing #AI #ModelBuilding #BigData #Analytics #DataEngineering #MLModels #TechInsights #EkasCloud
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Feature Engineering Best Practices A Guide for Data Scientists
www.ekascloud.com/our-blog/fea...
#FeatureEngineering #DataScience #MachineLearning #MLModels #DataPreprocessing #AI #DataScientists #ModelAccuracy #DataTransformation #TechInsights #Analytics #BigData #MLBestPractices #EkasCloud
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#mlmodels DeepMind's 'Tree of Thoughts' uses parallel hypotheses, tests them against each other, verifies confidence, and prunes bad paths early. This structured search significantly reduces hallucinations in complex tasks.
arxiv.org/abs/2305.10601
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Instruction Data Quality Boosts Explainable Image Quality Assessment
A clustering‑based selection framework (IQA‑Select) achieved 102.1% of full‑fine‑tuning performance on Q‑Bench and 103.7% on AesBench using only 10% of the original instruction data. getnews.me/instruction-data-quality... #explainableiqa #mlmodels
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New Study Reveals Core Bottlenecks Hindering Multimodal Reasoning
A new logic‑grounded evaluation defines six interaction patterns and identifies task‑composition and fusion as the main bottlenecks limiting multimodal reasoning. Read more: getnews.me/new-study-reveals-core-b... #multimodal #reasoning #mlmodels
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Your ML model is accurate but painfully slow.
What would you drop: speed or accuracy?
👉 Read the full blog by Aadeel Aslam, Lead Staff Engineer at Arbisoft, to see how we achieved both: https://f.mtr.cool/ctqsvqhxvq
#MachineLearning #MLModels #AIOptimization #ArbisoftBlogs
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Next Monday on Data Bites : Six Cloud Platforms to Run Jupyter Notebooks for Free 🚀
Want to know more?
Click the link below to subscribe and stay tuned!👇
https://f.mtr.cool/bltkmoeitj
#machinelearning #datascience #jupyter #mlmodels #ML #mltools #notebooks #cloudplatforms
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👉MICE is a powerful method for datasets with missing data across multiple variables.
Let this slide guide you through how it works.
#machinelearning #MICE #mlmodels #datascience #dataengineering #imputation #featureengineering
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Next Monday on Data Bites : Working with imbalanced data? Follow these 3 steps.
Want to know more?
Click the link below to subscribe and stay tuned!👇
https://f.mtr.cool/svpfklfpda
#machinelearning #datascience #CV #mlmodels #ML #MLCareer #MLresume
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Next Monday on Data Bites : How to Write a Winning Data Science CV
Want to know more?
Click the link below to subscribe and stay tuned!👇
https://f.mtr.cool/nozrfuruar
#machinelearning #datascience #CV #mlmodels #ML #MLCareer #MLresume
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Next Monday on Data Bites : Everybody says “SMOTE does not work”.
Want to know more?
Click the link below to subscribe and stay tuned!👇
https://f.mtr.cool/pinchbaedf
#machinelearning #datascience #smote #mlmodels #ML
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Next Monday on Data Bites : Probe Feature Selection
Want to know more?
Click the link below to subscribe and stay tuned!👇
https://f.mtr.cool/xefqrzzgeh
#machinelearning #datascience #imbalanceddata #undersampling #mlmodels #ML
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The most crucial component of any machine learning project is data!
▶️ 90% of the time is spent on data preprocessing
▶️ 10% of the time is spent on model building, tuning and evaluation.
#machinelearning #ML #MLmodels #preprocessing #modelbuilding #datascience
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[2506.21734] Hierarchical Reasoning Model
arxiv.org/abs/2506.21734
news.ycombinator.com/item?id=4469...
#arXiv #LLM #LLM #MLmodels #reasoning
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Here are some of the most widely used techniques for hyperparameter optimization.
The table below highlights the pros and cons of each strategy, helping you better understand when to use each one.
Hope you find it helpful! 😉
#machinelearning #datascience #ML #MLModels
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Who needs more more VC funding: Kepler or Newton?
youtu.be/jxB-lQyAAxU?...
icml.cc/virtual/2025... #WorldModel #SyntheticData #InductiveBiasProbe #FoundationModel #SymbolicRegression #Nonsensical #MLModels
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🤔 Not sure which hyperparameter search method to use?
- Random Search
- Bayesian Search
- SMAC
- TPE (Tree-structured Parzen Estimator)
Watch the video for a quick rundown 👇
#machinelearning #smac #mlmodels #hyperparameter #tpe #randomsearch #bayesiansearch
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Python libraries that implement agnostic global explainability methods 👇
#machinelearning #interpretability #datascience #mlmodels #python #dataengineering #globalmodel
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In this video, I dive into 3 Bayesian optimization approaches + random search, covering their pros and cons to help you choose the best one for your needs. 💡📈
Check it out 👇
#machinelearning #AI #datascience #MLmodels
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Machine Learning in Fintech: Advantages, Applications, and Upcoming Trends
#machinelearning #machinelearninginfintech #AIDevelopment #AISolutions #financialservices #AI #machinelearningmodels #finance
#MLmodels #trends #trendingpost #trendingtopics #bluesky
www.bulkpostads.com/machine-lear...
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Perfection is great but shipping on time is better. Aleric's tells us why pragmatism wins in the real world of software.
www.infraspec.dev/blog/pragmat...
#SoftwareEngineering #PragmaticProgramming #Productivity #Databricks #Pragmatism #ImageTagging #MLModels #MachineLearning
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Handling missing data is crucial for robust analyses and accurate models.
Check out these slides for common imputation methods.
Tip: Split your data before imputing! 😉
#machinelearning #missingdata #datascience #dataengineer #mlmodels #imputation
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🤖 Ever wondered how to turn model scores into real probabilities?
Platt scaling helps you do just that—crucial for high-stakes decisions in ML.
Learn how it works (with Python examples) 👇
🔗 www.blog.trainindata.com/complete-guide-to-platt-...
#machinelearning #calibration #mlmodels
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Training #MLmodels on #bigdata goes beyond fitting - it's about streamlining the entire process. And we know how to reduce pivoting time 😎 Read more here ➡
blog.allegro.tech/2025/05/snow...
#Snowflake #Python #Azure #MachineLearning
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