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  1. This book presents both the fundamentals and advanced topics of finite element analysis and design optimization in a concise and pedagogically structured manner

  2. Mastering Modern Time Series Forecasting
    A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python (Preorder)
    Valery Manokhin

    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.

  3. The Road to React
    The React.js in JavaScript Book (2025 Edition)
    Robin Wieruch

    https://www.roadtoreact.com

  4. 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.
    Valery Manokhin

    Mastering Advanced Time Series Forecasting in Python is the definitive sequel to the #1 forecasting bestseller. Designed for practitioners who want to go beyond ARIMA and basic ML, this book takes you deep into probabilistic forecasting, hierarchical coherence, and cutting-edge foundation models—backed by production-ready Python code. Learn how to assess forecastability, build scalable pipelines, quantify uncertainty, and deploy systems that deliver real business impact. Written by a globally recognized expert whose methods power multimillion-dollar decisions, this is the practical, honest, and advanced guide every data scientist, ML engineer, and quantitative professional needs to master modern forecasting.

  5. You’ll just need the Five Essential Elements of Learning Through five essential elements, you’ll gain the ability to learn anything deeply—no matter how complex the subject. These five pillars of effective learning will become lifelong tools, guiding you every time you set out to truly master new knowledge and retain it permanently. If you're ready to stop passively consuming information and start truly mastering it, this book is for you.

  6. Cognitive Productivity
    Using Knowledge to Become Profoundly Effective
    Luc P. Beaudoin

    You distinguish yourself from others not so much by what you've read, viewed or listened to, but by the lasting impact that information has had upon you. How can you use knowledge to become a more effective person? Cognitive Productivity answers this question with cognitive science and practical strategies.

  7. lego4scrum - deutsche Ausgabe
    Eine vollständige Anleitung zu #lego4scrum - eine großartige Möglichkeit, das Scrum Framework und ein agiles Mindset zu vermitteln.
    Alexey Krivitsky

    lego4scrum - eine der interaktivsten Methoden, um ein agiles Mindset und das Scrum Framework in Aktion zu demonstrieren. Dieses Buch fasst jahrelange Experimente und hunderte von lego4scrum-Workshops zusammen. Es wird Dir ermöglichen, Scrum auf eine völlig neue, frische und unterhaltsame Weise zu unterrichten. Dies ist die deutsche Ausgabe.

  8. How to Create Masters and Mastery in a Classroom Setting
    Free Essay One of "The Revolutionizers"
    Edward W. Barnard

    A simple overlook on the Kentucky-Virginia border reveals the entire attention mechanism of modern AI. Through this real-world analogy, this book shows how Large Language Models process information and how the same patterns of cognition apply to human thinking. From that insight emerges a powerful method for teaching mastery: modeling mental models, making thinking visible, and cultivating metacognition as a classroom habit. A clear, accessible guide for educators and anyone seeking intuitive AI literacy.

  9. Breaking into Information Security: Learning the Ropes 101
    Teaching You The Core Fundamentals For Getting Your Career Started in Penetration Testing.
    Andy Gill

    All of the basic topics to get you from zero to junior pentester level - covering off everything you need to know to start breaking into web application penetration testing industry or looking for flaws on bug bounties. (LTR101)

  10. Generative AI Professional Prompt Engineering Guide
    Prompt Engineering Excellence: Unlock the Full Potential of Generative AI
    George Tome

    ? What’s New in Release 13? Unlock the full potential of AI with the Generative AI Professional Prompt Engineering Guide—your ultimate resource for mastering prompt engineering and generative AI. Whether you're a beginner or an expert, this guide is more than just a book. It’s an evolving learning platform packed with the latest resources and tools to help you stay at the forefront of AI innovation.This AI‑driven learning platform uses AI tools to make it much more than a book. What’s New in Release 13?  ✅ Chapter 14 NotebookLM: The Guide’s Learning Platform Book Companion GPT, 50+ hours of additional learning from 6 different companion podcasts and Podcast reviews Once you purchase it you will receive every future release of the book! New release ~ every month.

  11. Snappy Data Management
    Hands-on Data Management and Artificial Intelligence Lessons for Business and Social Science Students
    Colin Conrad

    Data is changing nearly everything about our world, but many people don't know where to start. This book is designed for “non-technical” people (especially students) who want a hands-on introduction to data using free or open tools.

  12. An Educator’s Guide to the Open Case Studies
    A Guide for using Example data analyses with real-world data inside and outside the classroom
    Carrie Wright, Stephanie Hicks, Lyla Atta, and Michael Breshock

    If you are an independent learner or an instructor for a data science, statistics, or public health course, check out the open case studies project (www.opencasestudies.org) and this guide which will describe the variety of ways our case studies can be used for hands-on data science activities.

  13. Risk Analysis in the Earth Sciences
    A Lab Manual with Exercises in R
    Patrick Applegate and Klaus Keller

    Greenhouse gas emissions have caused considerable changes in climate, including increased surface air temperatures and rising sea levels. This e-textbook presents a series of laboratory exercises in R that teach the Earth science and statistical concepts needed for assessing climate-related risks. These exercises are intended for upper-level undergraduates, beginning graduate students, and professionals in other areas who wish to gain insight into academic climate risk analysis.

  14. A rigorous treatment of linear models for self learning data scientists. This book is only available in pdf form.

  15. 현대의 오픈 소스 방식으로 과학자가 되는 방법에 대한 책입니다.