The Forecasting & Conformal Prediction Mastery Bundle
This bundle contains...
📚 Master the Future: Forecasting & Conformal Prediction Bundle
Get Valeriy’s two essential machine learning titles in one discounted bundle — built for practitioners, researchers, and serious learners who care about performance and reliability in real-world ML.
Forecasting answers: What will happen next?
Conformal prediction answers: How confident should we be?
Together, they form a practical, modern toolkit for production ML.
✅ What’s Included
📘 Mastering Modern Time Series Forecasting
A definitive, production-minded guide to forecasting with statistical methods, machine learning, and deep learning in Python.
You’ll learn:
- Core forecasting foundations (metrics, validation, failure modes)
- Classical + modern approaches (ARIMA, Prophet, boosting, neural nets)
- RNNs, Transformers, and modern modeling workflows
- Real-world projects with reproducible, reusable code
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📙 Advanced Conformal Prediction (Preorder / Early Access)
A practical, expert guide to reliable uncertainty quantification in machine learning using conformal prediction.
You’ll learn:
- Prediction intervals (regression) and prediction sets (classification)
- Calibration, predictive sets, and coverage guarantees (what holds and what doesn’t)
- Cross-/split-style conformal methods and trade-offs
- Deployment patterns for using uncertainty in real decisions
🔗 More details
🎯 Why buy the bundle?
- Save vs buying separately (bundle-only pricing)
- Covers two pillars of modern ML: forecasting + trustworthy uncertainty
- Includes early access (where applicable) and future updates
- Ideal for data scientists, ML engineers, and AI researchers who build systems that must hold up in production
📅 This bundle offer may end at any time.
Forecasting & Conformal Prediction Bundle Get two powerful machine learning books in one discounted pack: Mastering Modern Time Series Forecasting – a complete hands-on guide to statistical, ML, and DL models for time series in Python. Advanced Conformal Prediction (Preorder) – master uncertainty quantification with cutting-edge conformal prediction techniques. Perfect for data scientists and ML practitioners looking to boost both prediction accuracy and reliability. 🧠📈