[{"_1":2,"_46":-5,"_47":-5},"loaderData",{"_3":4,"_14":15,"_44":-5,"_45":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9,"_10":11},"user","shoppingCartId","toast","locale","en","constants",{"_12":13},"paypalClientId","AenrHU49peF-ZUH-Yq7AXLLNZYGUGlml474U16NCjB4ZznmQCEjiliN3whyuVZmkb7VxEzmTALgtKEKE","routes/_store+/_readers+/email_author.$slug/route",{"_16":17,"_43":-5},"book",{"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":29},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjg1MDg","title","Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models","state","published","contactAuthorMethod","email","aboutText","

? The Definitive Sequel to the #1 Time Series Forecasting Bestseller

From the author of Mastering Modern Time Series Forecasting—trusted by data science leaders in 100+ countries—comes the advanced guide to elevate your forecasting expertise:

Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models

Dive into probabilistic methods, hierarchical coherence, and cutting-edge foundation models with production-ready Python code. Build robust, scalable forecasting systems that deliver multimillion-dollar impact.

? Pricing

Pre-Order Ebook: $34.95

(Launch Special — price increases to $80+ as content grows)

? Why This Book Stands Out

? Advanced Techniques, Real-World Focus

Go beyond basics with:

Probabilistic forecasting (including conformal prediction)
Hierarchical models (coherence for supply chains and portfolios)
Foundation models (transformers and FTSMs for time series)

Learn to assess forecastability, choose and optimize metrics, and deploy with MLOps pipelines—all tailored for real-world constraints, not Kaggle-style toy problems.

? Built for Mastery, Not Just Coding

Understand the why behind each method and design choice:

Decision-making logic and trade-offs
Common failure modes and anti-patterns
How to communicate with stakeholders and build trust

This is a book about engineering forecasting systems, not just fitting models.

? Proven ROI for Your Career & Business

Readers of the original book saw 20–40% accuracy gains, smoother stakeholder buy-in, and faster promotions.

This sequel gives you the tools to:

Tackle messy, complex, high-stakes datasets
Impress senior stakeholders with clear, defensible forecasts
Win competitive AI and analytics projects

? Living Resource with Lifetime Updates

Join a global community shaping this book. Get:

New chapters and sections as they’re written
Bug fixes and clarifications
Bonus tools, templates, and case studies

All free forever once you’ve bought the book.

✍️ About the Author

Valeriy Manokhin, PhD, MBA, CQF — a world-renowned forecasting expert and data science leader.

Built forecasting systems for giants like Stanley Black & Decker, and GfK, beating major consultancies (including BCG) and AI forecasting startups in global tenders.
Published in top ML and forecasting venues.
His methods drive multimillion-dollar business impact.
His training and books reach professionals in 100+ countries, from Amazon to University of Chicago.

? Trusted By

Industry Leaders: Amazon, Google, Meta, BlackRock, Nike, Mars Inc.

Academia: University of Chicago, KTH, UBC, DTU

Professionals: VPs, AI Leads, Principal Data Scientists, ML Engineers, PhD students

? Pair with Live Learning

Want hands-on guidance?

Join Valeriy’s Modern Forecasting Mastery course on Maven for:

Live sessions
Peer collaboration
Direct feedback on your projects

? https://maven.com/valeriy-manokhin/modern-forecasting-mastery

? What You Get

? Instant access to the book — start reading immediately.

? Free updates — including new chapters, bug fixes, and bonus content.

? Ready to Master Advanced Forecasting?

Take your skills from ARIMA to transformers and foundation models, and from theory to production.

Perfect for:

Data Scientists and ML Engineers in production teams
Quantitative Analysts and Forecasters in finance and energy
Senior ICs and technical leads responsible for forecast-critical decisions

? Buy Now and unlock the future of time series forecasting.

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Email the Author