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$49.95+

🚀 Pro Edition → Book + Bonus Pack Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models — Now with Premium Tools, Templates & Real-World Case Studies

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🚀 Pro Edition → Book + Bonus Pack Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models — Now with Premium Tools, Templates & Real-World Case Studies

$49.95+

🔥 Pro Edition: Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models (Early Access)


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. 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.

The elite version of the book — trusted by data science leaders in 100+ countries.
Unlock the premium toolkit behind today’s most powerful forecasting systems.


🚀🚀🚀 New: Pro Edition Now Available — $49.95 (USD) 🔥🔥🔥
Includes everything in the standard edition plus: premium forecasting templates, cheat sheets, extended case studies, behind‑the‑scenes notebooks, model tuning toolkits, and access to live Q&A + AMA sessions with the author.
⚠️ Final price of Pro Edition will rise to $150+ at book completion.


The Definitive Guide to Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models


✍️ About the Author

Written by Valeriy Manokhin, PhD, MBA, CQF — a seasoned forecasting expert, data scientist, and machine learning researcher with publications in top academic journals.

Valeriy has advised both startups and large enterprises, helping them build and rebuild forecasting systems at scale. He has led successful forecasting initiatives for global organizations — including winning competitive tenders from multinational companies, outperforming major consulting firms like BCG and specialized AI startups focused on forecasting. He has delivered production-grade solutions for industry leaders such as Stanley Black & Decker and GfK.

His methods have driven multimillion-dollar business impact, and his training programs have reached professionals in over 30 countries. This book is now used in more than 100+ countries and has become a #1-ranked title in Machine Learning, Forecasting, and Time Series across major platforms.


🌍 Trusted By and Taught To

Valeriy’s expertise is trusted by leaders at:
Amazon, Apple, Google, Meta, Nike, BlackRock, Morgan Stanley, Target, NTT Data, Mars Inc., Lidl, Publicis Sapient, and more.

His frameworks are followed by professionals from:
University of Chicago, KTH (Sweden), UBC (Canada), DTU (Denmark), and other world-class institutions.

👤 Students include:
VPs of Engineering, AI Leads, Principal & Lead Data Scientists, ML Engineers, Consultants, Professors, Founders, Researchers, and PhD students.


🎓 Want a Live, Interactive Learning Experience?

Pair this book with the Modern Forecasting Mastery course on Maven.
Join live cohort sessions with Valeriy, get direct feedback, and build models with peers.
Next cohort opens soon → maven.com/valeriy-manokhin/modern-forecasting-mastery


🔍 What You'll Master in Mastering Advanced Time Series Forecasting in Python

🔍 What You'll Master in Mastering Advanced Time Series Forecasting in Python

📘 Core Advanced Forecasting Foundations

Unravel the true meaning of forecast accuracy, master cutting-edge validation techniques, and avoid pitfalls that challenge even seasoned experts.


🤖 State-of-the-Art Machine Learning for Time Series

Craft feature-rich forecasts with advanced ML methods, surpassing traditional black-box approaches.

🧠 Deep Learning & Transformer Innovations

Unlock the power of deep learning architectures, including Transformer-based models, with production-ready PyTorch code.

📊 Hierarchical Forecasting Mastery

Master hierarchical time series forecasting, reconciling top-down and bottom-up approaches with Python tools for coherent, scalable predictions across levels.

📊 Foundational Time Series Models (FTSMs)

Explore domain-general, pre-trained models (“GPT for time series”) with comprehensive implementation details.

🎯 Probabilistic & Interpretable Forecasting

Go beyond point predictions with advanced techniques like conformal prediction, SHAP, attention mechanisms, and interpretability tools.

📊 Real-World Case Studies

Apply your skills to live datasets in retail, energy, and finance, tackling market-ready scenarios with confidence.


👥 Who It’s For

  • Data Scientists & ML Engineers building real-world forecasting systems
  • Analysts & Developers looking for practical, hands-on code and frameworks
  • Students, Educators & Researchers seeking a modern and curriculum-ready reference
  • Demand Planners & Business Strategists translating forecasts into action and ROI

🧠 Why This Book Stands Out

🧠 Focuses on understanding, not just coding
Understand model mechanics and decision-making—not black-box training code.

💻 Fully documented, transparent code
No obfuscation. Every example is explainable, reusable, and production-ready.

🔄 Continuously improved with reader feedback
This is a living resource, shaped by an ongoing review process involving a wide community of readers who provide thoughtful, real-world feedback. Many improvements, clarifications, and additions come directly from this collaboration. Thank you to all the reviewers — your contributions are acknowledged and appreciated in the book. Readers receive lifetime updates, including new chapters and bonus tools.

📚 Comprehensive, real-world coverage

📈 Real ROI — for your company and your career
Readers consistently report fast, tangible improvements in model accuracy, interpretability, and stakeholder confidence — often within weeks. No more forecasting models that silently fail or production systems that collapse under pressure. This book helps you build solutions that earn trust, drive business impact, and advance your career — not frustrate clients or burn out data science teams.


📦 What You Get

  • Instant download of the full book
  • All code examples, datasets, and notebooks
  • Free lifetime updates (new chapters, bug fixes, bonus content)
  • Exclusive early access to upcoming bonus chapters & live Q&A with the author

🔓 Pro Edition Bonus Pack (Early Access – $49.95) Includes everything above, plus:

✅ Premium Forecasting Templates — plug-and-play workflows
✅ Extended Case Studies — deep analyses across major industries
✅ Cheat Sheets & Flashcards — quick-reference model guides and best practices
✅ Behind-the-Scenes Notebooks — annotated walkthroughs and exploratory pipelines
✅ Forecast Model Selection Toolkit — Python notebooks to benchmark, optimize, and compare

📈 Ideal for professionals and teams who want to build and deploy faster—and sidestep the guesswork.

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Pro Edition → Book + Bonus Pack Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models — Now with Premium Tools, Templates & Real-World Case Studies

Size
7.58 MB
Length
76 pages
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