Mastering Modern Time Series Forecasting is your all-in-one guide to building real-world forecasting systems that work — from classical stats to deep learning and beyond. Whether you're modeling retail demand or energy loads, this book gives you the tools, intuition, and code to go from zero to production. You'll cover ARIMA, ML, deep nets, transformers, and even the rise of FTSMs (Foundational Time Series Models). Written by a practitioner who’s built forecasting solutions for multibillion-dollar businesses, this is the hands-on, honest guide every data scientist, analyst, or forecaster needs.
Most people think they are bad at math. In reality, they were never taught arithmetic properly.This book is a modern English edition of Arithmetic by Alexander P. Kiselev—the text that formed the backbone of mathematical education in Russia and USSR for over a century and helped produce generations of exceptionally strong mathematicians, scientists, and engineers.Unlike modern textbooks that prioritise shortcuts, visuals, and lowered expectations, Kiselev builds arithmetic logically, systematically, and rigorously. Every method is explained. Every operation has meaning. Exercises are carefully sequenced to develop real understanding—not rote pattern-following.This book does not promise “easy math”. It promises something better: clarity, confidence, and competence.Whether you are a student, a parent, a tutor, or an adult rebuilding fundamentals, this book will change how you understand arithmetic—and why so much later mathematics suddenly becomes easier.
Volume 4 of the Experiential Learning Series provides many tried-and-true experiential exercises, ready to use or modify for lessons in programming, testing, analysis and design, as well as personal development, team building, and organizational change.
My name is Erik van Mechelen and I've worked with Yu-kai since 2016. In that time, I've come to know something about the Octalysis framework within the walls of Octalysis Prime and also through weekly conversations with Yu-kai. (You might consider 'Conversations with Yu-kai' as a possible subtitle of this manual.)
Este livro aborda a Simulação de Eventos Discretos por uma perspectiva que, metodologicamente, satisfaça a cada etapa que um projeto de simulação exija para ser bem-sucedido. São aprofundados os conceitos fundamentais, mas sem perder a prática de como fazer.
A rigorous treatment of linear models for self learning data scientists. This book is only available in pdf form.
A multimedia prompt-engineering learning ecosystem that helps you move from understanding techniques to applying them through a repeatable workflow and an online Prompt Companion.
Master Antifragility and Peak Performance to stop just surviving and start thriving. Use Neural Rewiring and a Growth Mindset for burnout prevention and long-term success in high-stress environments.
When AI rewrites the rules of value, one man discovers the 23 ancient laws of survival that no machine can replace.
A book about how to be a scientist the modern, open-source way.
Master the future of technology with this definitive guide to Modern Data Science. Unlock actionable insights through Analytics, Machine Learning, and Big Data strategies. Perfect for beginners and pros wanting a logic-first approach to data-driven decision making.
Unlock the future of work: Learn how to 10x your productivity, automate your workflow, and scale your freelance business using the latest AI tools in 2026. This comprehensive guide is designed for freelancers and digital nomads looking to master Generative AI and Prompt Engineering. Discover how to use Artificial Intelligence for content automation, AI-driven marketing, and client acquisition. Whether you want to build a high-paying side hustle or generate passive income, this book provides the roadmap for scaling a freelance business and staying ahead in the global gig economy.
Unlock the secrets to skyrocketing website traffic, mastering SEO, and dominating Google’s first page with practical strategies, expert insights, and long-term growth techniques.