Applied Conformal Prediction - Pro Edition Upgrade 🚀 Applied Conformal Prediction: Practical Uncertainty Quantification for Real-World ML 🚀Pro Edition Upgrade for Existing Book Owners Preorder / Early Access — chapters released progressivelyMost ML systems don’t fail because the point prediction is wrong.They fail because nobody knows when not to trust it.Applied Conformal Prediction is a practitioner-first guide to building models that produce valid, decision-ready uncertainty — prediction intervals and prediction sets you can communicate, monitor, and defend in production.This page is for current owners of the Core book who want to upgrade to the Pro Edition.📖 What the Book Covers Distribution-free uncertainty quantification with finite-sample guarantees Conformal prediction for regression and classification Practical workflows: split conformal, CV+, conditional/Mondrian methods, and online settings Diagnostics & deployment: coverage gaps, drift, non-IID data, leakage, and monitoring How to present uncertainty so decision-makers can actually use it ⭐ Pro Edition Upgrade (Recommended)The Pro Edition Upgrade is designed for readers who want to implement conformal prediction correctly — not just understand the theory.It extends the Core book with code, case studies, and advanced applied material.✅ What’s Included in the Pro Upgrade Complete Jupyter notebooks — end-to-end, production-ready Python workflows Extended case studies — applied examples in forecasting, finance, and business Advanced methods — modern extensions beyond the core conformal framework Lifetime updates — all future chapters and editions included automatically Why Upgrade?The Core Edition explains the ideas.The Pro Edition gives you the implementation playbook.With the Pro upgrade, you’ll be able to: Build trustworthy prediction intervals and sets that hold up in practice Diagnose coverage failures under shift and drift Communicate uncertainty in a way stakeholders understand and trust ⚡ Early Access Upgrade Lock in the lowest upgrade price during Early Access New content delivered progressively as chapters are released Lifetime access to all future updates included 📅 Upgrade today and turn conformal prediction from theory into a production-ready tool.

🚀 Pro Edition: valeman.gumroad.com/...
#MachineLearning #Calibration #ConformalPrediction #DataScience #ScikitLearn #AI #Statistics

– calibration
– coverage
– reliability under uncertainty

If predicted 90% ≠ empirical 90%, the model is mis-specified.

Practical stack:

Model
→ calibration
→ conformal layer

Stop optimizing accuracy in isolation.

#MachineLearning #AI #ConformalPrediction

Applied Conformal Prediction - Pro Edition Upgrade 🚀 Applied Conformal Prediction: Practical Uncertainty Quantification for Real-World ML 🚀Pro Edition Upgrade for Existing Book Owners Preorder / Early Access — chapters released progressivelyMost ML systems don’t fail because the point prediction is wrong.They fail because nobody knows when not to trust it.Applied Conformal Prediction is a practitioner-first guide to building models that produce valid, decision-ready uncertainty — prediction intervals and prediction sets you can communicate, monitor, and defend in production.This page is for current owners of the Core book who want to upgrade to the Pro Edition.📖 What the Book Covers Distribution-free uncertainty quantification with finite-sample guarantees Conformal prediction for regression and classification Practical workflows: split conformal, CV+, conditional/Mondrian methods, and online settings Diagnostics & deployment: coverage gaps, drift, non-IID data, leakage, and monitoring How to present uncertainty so decision-makers can actually use it ⭐ Pro Edition Upgrade (Recommended)The Pro Edition Upgrade is designed for readers who want to implement conformal prediction correctly — not just understand the theory.It extends the Core book with code, case studies, and advanced applied material.✅ What’s Included in the Pro Upgrade Complete Jupyter notebooks — end-to-end, production-ready Python workflows Extended case studies — applied examples in forecasting, finance, and business Advanced methods — modern extensions beyond the core conformal framework Lifetime updates — all future chapters and editions included automatically Why Upgrade?The Core Edition explains the ideas.The Pro Edition gives you the implementation playbook.With the Pro upgrade, you’ll be able to: Build trustworthy prediction intervals and sets that hold up in practice Diagnose coverage failures under shift and drift Communicate uncertainty in a way stakeholders understand and trust ⚡ Early Access Upgrade Lock in the lowest upgrade price during Early Access New content delivered progressively as chapters are released Lifetime access to all future updates included 📅 Upgrade today and turn conformal prediction from theory into a production-ready tool.

🚀 Pro Edition: valeman.gumroad.com/...
#MachineLearning #Calibration #ConformalPrediction #DataScience #ScikitLearn #AI #Statistics

Internship / Ph.D. proposal (w. J-B Fermanian):

"Exploring Conformal Prediction in Long-Tail Scenarios"

Come and work on Pl@ntNet data with us

josephsalmon.eu/perso/internship_proposa...

Modular Adaptive Conformal Prediction with Residual Decomposition

Modular conformal prediction splits error into upstream and downstream parts for two‑stage pipelines, keeping finite‑sample coverage and adapting to data shifts. Read more: getnews.me/modular-adaptive-conform... #conformalprediction #machinelearning

Reservoir Conformal Prediction Advances Time Series Forecasting

ResCP, a training‑free method, creates prediction intervals for time‑series data, cutting computational cost and providing coverage without retraining. Read more: getnews.me/reservoir-conformal-pred... #reservoircomputing #conformalprediction

📢 New preprint available!

We propose ResCP, a novel training-free conformal prediction method for time series.

🔗 Read the preprint: arxiv.org/abs/2510.05060

🤝 Andrea Cini, @mmbronstein.bsky.social, @filippomb.bsky.social

#conformalprediction #timeseries #reservoircomputing

SpeedCP Enables Fast Kernel-Based Conditional Conformal Prediction

SpeedCP speeds up kernel-based conditional conformal prediction, delivering intervals up to 30% tighter and computation about 40× faster than previous methods. Read more: getnews.me/speedcp-enables-fast-ker... #speedcp #conformalprediction

Probabilistic Conformal Coverage Guarantees for Small Data

Researchers introduced the Small Sample Beta Correction (SSBC) on 18 Sep 2025, a plug‑and‑play tweak that gives probabilistic coverage guarantees with 95% confidence. Read more: getnews.me/probabilistic-conformal-... #conformalprediction #machinelearning

Efficient Conformal Prediction for Regression with Noisy Labels

A study presents a conformal prediction method robust to noisy calibration labels, narrowing intervals on medical imaging regression datasets with Gaussian noise. Read more: getnews.me/efficient-conformal-pred... #conformalprediction #regression

Thierry Moudiki's webpage Thierry Moudiki's personal webpage, Data Science, Statistics, Machine Learning, Deep Learning, Simulation, Optimization.

I'm supposed to present 'Conformal Predictive Simulations for Univariate Time Series' at COPA CONFERENCE 2025 in London...

Post: thierrymoudiki.github.io/blog/2025/09...

Poster Abstract: proceedings.mlr.press/v266/moudiki...

#rstats #conformalprediction #Python #Techtonique

This is the definitive Pro library — built for those who want the complete toolkit for modern forecasting, uncertainty quantification, and tabular AI.

#tabulardata #conformalprediction #forecasting #timeseries #AI

I'll keep testing ideas in public, sharing insights, and trying to break the mould.

Here's to the next chapter. The analytics are great, but this community is better.

#machinelearning #math #forecasting #datascience #conformalprediction

Thanks to everyone who's supported the project so far!

#MachineLearning #ConformalPrediction #AI #TrustworthyAI #MLBooks #UncertaintyQuantification

#MachineLearning #MLOps #SoftwareArchitecture #DataScience #Forecasting #TimeSeries #ConformalPrediction #Python #PyData #OpenSource

These tools turn raw model scores into actionable, risk-aware decisions.
💡 Curious: Are you already using calibration or conformal prediction in your models, or relying only on backtests and raw probabilities?

#finance #trading #conformalprediction #machinelearning

Let’s discuss how it’s shaping the future of trustworthy AI! 👇

#MachineLearning #AI #ConformalPrediction #AnomalyDetection #ResponsibleAI #UncertaintyQuantification

hashtag#bayesianism hashtag#machinelearning hashtag#conformalprediction

Thanks to everyone who's supported the project so far!

#MachineLearning #ConformalPrediction #AI #TrustworthyAI #MLBooks #UncertaintyQuantification

For a piece marketed as the gentle introduction to get YouTube vies, the effect is anything but gentle — it sets the science back.
We need clarity, not myths. Conformal prediction deserves better.

#conformalprediction

#ConformalPrediction #MachineLearning #OpenSource #DataScience #AI #UncertaintyQuantification

The real paradigm shift isn't just measuring uncertainty—it's engineering it to be reliable before we see the data. Stop checking the rearview mirror and start focusing on the road ahead.

#MachineLearning #Forecasting #Calibration #Uncertainty #AI #conformalprediction

Advanced Conformal Prediction: Reliable Uncertainty Quantification for Real-World Machine Learning (Preorder / Early Access) 🚀 Advanced Conformal Prediction: Practical Uncertainty Quantification for Real-World ML 🚀Preorder / Early Access – Chapters released progressivelyAre you ready to take your machine learning models to the next level? Move beyond basic predictions and master advanced techniques for quantifying and managing uncertainty with confidence.In "Advanced Conformal Prediction," you'll dive deep into sophisticated methods designed to enhance reliability and decision-making in real-world AI applications. This comprehensive guide equips you with practical skills and cutting-edge tools, empowering you to confidently deploy machine learning solutions in high-stakes environments.Whether you're a data scientist, engineer, researcher, or practitioner, this book will become your essential resource for ensuring the trustworthiness of your AI models.📖 What's Inside: Advanced methods for uncertainty quantification Practical insights for real-world AI deployment Techniques for improving model reliability Join the journey and transform your approach to AI uncertainty today!🌟 Perfect for: Data Scientists and ML Engineers AI Researchers Professionals deploying ML in critical industries Secure your copy now and revolutionize how you manage uncertainty in machine learning!

Fast forward to 2025, and it’s gone mainstream — with top ML conferences now featuring dozens of papers on the subject. What a transformation!

valeman.gumroad.com/...
#conformalprediction

Thanks to everyone who's supported the project so far!

#MachineLearning #ConformalPrediction #AI #TrustworthyAI #MLBooks #UncertaintyQuantification

Sparse Activations as Conformal Predictors Conformal prediction is a distribution-free framework for uncertainty quantification that replaces point predictions with sets, offering marginal coverage guarantees (i.e., ensuring that the...

It’s in principled connections between conformal prediction, calibration, and sparse activations.
The Berkeley era is over before it even started.

arxiv.org/abs/2502.1...

#conformalprediction

As conformal prediction continues its ascent, it is replacing bayesianism in pretty much every application.

Bayesianism is the obsolete past, conformal prediction is the future.

#conformalprediction #bayesianism

This is the definitive Pro library — built for those who want the complete toolkit for modern forecasting, uncertainty quantification, and tabular AI.

#tabulardata #conformalprediction #forecasting #timeseries #AI

Had he actually read serious material—say, Vovk’s book (yes, the math is hard) or proper scientific papers—he wouldn’t have staged a meltdown on social media over a misunderstanding over how conformal prediction actually works.


#conformalprediction

#MachineLearning #AI #ConformalPrediction #TrustworthyAI #UncertaintyQuantification

#informationtheory #conformalprediction