Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models
Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models
Master advanced forecasting with Python using machine learning, deep learning, and cutting-edge foundational models. Learn hierarchical and probabilistic forecasting, forecastability, metrics, and scalable pipelines. Build robust, real-world forecasting systems with production-ready code and expert guidance.
About the Book
📘 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.
About the Author
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