$89.95+
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🚀 Pro Edition (Book + Bonus Pack) Applied Conformal Prediction: Reliable Uncertainty Quantification for Real-World Machine Learning (Preorder / Early Access)

$89.95+

🚀 Applied Conformal Prediction: Practical Uncertainty Quantification for Real-World ML 🚀
Preorder / Early Access — chapters released progressively

Most 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-focused guide to building models that output valid, decision-ready uncertainty — prediction intervals and prediction sets you can communicate, monitor, and defend in production.

This is not “uncertainty vibes” or toy examples. It’s conformal prediction as it’s used in real pipelines: strong baselines, practical workflows, and the failure modes that actually matter.


📖 What’s Inside

  • Distribution-free uncertainty quantification with finite-sample coverage guarantees
  • Conformal prediction for regression and classification (and where each breaks)
  • Practical workflows: split conformal, CV+, conditional/Mondrian variants, and online settings
  • Diagnostics & monitoring: coverage gaps, drift, non-IID data, leakage, and evaluation pitfalls
  • Deployment guidance: how to integrate conformal outputs into real decision systems

🎯 Who It’s For

  • Data Scientists & ML Engineers shipping models to production
  • Researchers who want applied clarity and implementation-ready methods
  • Practitioners in high-stakes domains (finance, risk, operations, regulated settings)

If you only care about leaderboard metrics, this won’t be your favorite book.
If you care about reliable decisions under uncertainty, it will.


⭐ Pro Edition (Recommended)

The Pro Edition is the complete package for professionals who want more than theory.
You get the full book plus a deployment-grade bonus pack designed to help you apply conformal prediction correctly — fast.

✅ What’s Included in the Pro Edition

  • Full Digital Book — all chapters as they’re released
  • Complete Jupyter Notebooks — end-to-end, production-ready Python code
  • Extended Case Studies — real projects in finance, business, and beyond
  • Advanced Methods — modern extensions beyond the basics
  • Lifetime Updates — every new chapter and future edition included
  • Final Print-Ready PDF — the polished compiled version at completion

Why Pro?

Core gives you the essentials.
Pro gives you the implementation playbook: code, workflows, diagnostics, and professional-grade examples.

With Pro, you’ll be able to:

  • Build trustworthy prediction intervals/sets that hold up in practice
  • Communicate uncertainty in a way stakeholders actually understand
  • Avoid silent failure modes under shift, drift, and non-IID data

📅 Start today — secure Early Access and own the complete Pro package as it evolves.

$
I want this!

Pro Edition (Book + Bonus Pack) Applied Conformal Prediction: Reliable Uncertainty Quantification for Real-World Machine Learning (Preorder / Early Access)

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