Lightgbm Techniques And Applications
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Lightgbm Techniques And Applications
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-08-19
Lightgbm Techniques And Applications written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Computers categories.
"LightGBM Techniques and Applications" "LightGBM Techniques and Applications" offers a comprehensive and authoritative exploration of one of the most impactful gradient boosting libraries in modern machine learning. The book opens with a rigorous examination of LightGBM’s theoretical underpinnings and architectural design, delving into its core algorithms, histogram-based learning, memory optimizations, and cross-platform deployment methodologies. Readers are guided through both the foundational concepts and the advanced system integrations, providing a clear understanding of LightGBM’s functionality from the bottom up. Building on this foundation, the book presents a wealth of practical insights into algorithmic enhancements, data engineering, and robust model optimization strategies. It details advanced customization options such as Exclusive Feature Bundling (EFB), Gradient-based One-Side Sampling (GOSS), and native processing for categorical features, alongside state-of-the-art hyperparameter tuning, feature optimization, and interpretability frameworks. Extensive attention is given to distributed training architectures, deployment patterns, and monitoring pipelines, ensuring that practitioners are well-equipped for scalable real-world applications. Rounding out its coverage, the book features diverse case studies in fields such as finance, bioinformatics, IoT, and time series forecasting, illustrating LightGBM's versatility across domains. Additionally, it empowers advanced users with guidance for source code contributions, algorithmic extensions, and integration with emerging ML workflows. "LightGBM Techniques and Applications" is an indispensable resource for data scientists, engineers, and researchers seeking to master both the practical and conceptual facets of modern gradient boosting at scale.
Tenth International Conference On Applications And Techniques In Cyber Intelligence Icatci 2022
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Author : Jemal H. Abawajy
language : en
Publisher: Springer Nature
Release Date : 2023-03-29
Tenth International Conference On Applications And Techniques In Cyber Intelligence Icatci 2022 written by Jemal H. Abawajy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-29 with Computers categories.
This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.
Applied Artificial Intelligence And Machine Learning Techniques For Engineering Applications
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Author : Ravichander Janapati
language : en
Publisher: CRC Press
Release Date : 2025-08-19
Applied Artificial Intelligence And Machine Learning Techniques For Engineering Applications written by Ravichander Janapati and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Computers categories.
This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science. Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body. The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface.
Proceedings Of Sixth International Conference On Computer And Communication Technologies
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Author : K. Reddy Madhavi
language : en
Publisher: Springer Nature
Release Date : 2025-07-25
Proceedings Of Sixth International Conference On Computer And Communication Technologies written by K. Reddy Madhavi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.
This book is a compilation of high-quality scientific papers presented at the 6th International Conference on Computer & Communication Technologies (IC3T 2024). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence, and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human–computer interaction, and web intelligence.
Smart Service Systems Operations Management And Analytics
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Author : Hui Yang
language : en
Publisher: Springer Nature
Release Date : 2019-11-25
Smart Service Systems Operations Management And Analytics written by Hui Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Business & Economics categories.
This volume offers state-of-the-art research in service science and its related research, education and practice areas. It showcases recent developments in smart service systems, operations management and analytics and their impact in complex service systems. The papers included in this volume highlight emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users‘ both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume present methods to approach such technical challenges in service science and are based on top papers from the 2019 INFORMS International Conference on Service Science.
Frontiers In Civil And Hydraulic Engineering Volume 2
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Author : Mohamed A. Ismail
language : en
Publisher: CRC Press
Release Date : 2023-03-23
Frontiers In Civil And Hydraulic Engineering Volume 2 written by Mohamed A. Ismail and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-23 with Technology & Engineering categories.
Frontiers in Civil and Hydraulic Engineering focuses on the research of architecture and hydraulic engineering in civil engineering. The proceedings feature the most cutting-edge research directions and achievements related to civil and hydraulic engineering. Subjects in the proceedings including: Engineering Structure Intelligent Building Structural Seismic Resistance Monitoring and Testing Hydraulic Engineering Engineering Facility The works of this proceedings can promote development of civil and hydraulic engineering, resource sharing, flexibility and high efficiency. Thereby, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
Practical Gradient Boosting A Deep Dive Into Gradient Boosting In Python
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Author : Guillaume Saupin
language : en
Publisher: guillaume saupin
Release Date : 2022-10-17
Practical Gradient Boosting A Deep Dive Into Gradient Boosting In Python written by Guillaume Saupin and has been published by guillaume saupin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Computers categories.
This book on Gradient Boosting methods is intended for students, academics, engineers, and data scientists who wish to discover in depth the functioning of this Machine Learning technique used to build decision tree ensembles. All the concepts are illustrated by examples of application code. They allow the reader to rebuild from scratch his own training library of Gradient Boosting methods. In parallel, the book presents the best practices of Data Science and provides the reader with a solid technical background to build Machine Learning models. After a presentation of the principles of Gradient Boosting citing the application cases, advantages and limitations, the reader is introduced to the details of the mathematical theory. A simple implementation is given to illustrate how it works. The reader is then armed to tackle the application and configuration of these methods. Data preparation, training, explanation of a model, management of Hyper Parameter Tuning and use of objective functions are covered in detail! The last chapters of the book extend the subject to the application of Gradient Boosting for time series, the presentation of the emblematic libraries XGBoost, CatBoost and LightGBM as well as the concept of multi-resolution models.
Hands On Machine Learning Techniques
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Author : Dr Benjamin Neudorf
language : en
Publisher: Independently Published
Release Date : 2025-08-24
Hands On Machine Learning Techniques written by Dr Benjamin Neudorf and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-24 with Computers categories.
Are you curious about machine learning but feel overwhelmed by technical jargon or afraid to take the first step? You're not alone-and you're exactly who this book was written for. Hands-On Machine Learning Techniques: Scikit-Learn, XGBoost, and LightGBM for Beginners to Advanced is your friendly, step-by-step guide to unlocking the power of data science-no prior experience or advanced math required. Whether you're a complete beginner, an aspiring data scientist, or a developer eager to master modern ML tools, this book will nurture your confidence, celebrate your progress, and empower you to create real-world solutions. What makes this book different? Welcoming, Encouraging Style: Written as a supportive companion, each chapter guides you gently through new concepts-explaining not just the "how," but the "why"-so you always feel included and understood. No Experience Needed: Start from scratch with Python, then grow into advanced machine learning using industry-standard libraries like Scikit-Learn, XGBoost, and LightGBM-all explained in clear, accessible language. Practical, Hands-On Learning: Build real projects, tackle messy data, and solve meaningful problems from the very first chapter. Mistakes are expected and embraced as part of your learning journey. Step-by-Step Examples: Follow concise, up-to-date code samples and workflows you can adapt to your own datasets, with helpful commentary to guide you at every turn. Confidence at Every Level: Move at your own pace through beginner basics, intermediate best practices, and advanced topics like model explainability, deployment, and real-world case studies. Expert Insights and Encouragement: Personal stories and honest advice help you navigate challenges, overcome self-doubt, and build the confidence to keep going-even when technology feels intimidating. Inside, you'll discover: The essential building blocks of machine learning with Python How to prepare, clean, and understand real-world data Powerful modeling techniques using Scikit-Learn, XGBoost, and LightGBM Practical guidance for data preprocessing, feature engineering, and hyperparameter tuning Strategies for interpreting models, addressing bias, and making results explainable How to build complete, end-to-end machine learning pipelines ready for production Deployment tips-share your models with the world using web apps and cloud services Inspiring real-world projects in finance, healthcare, and e-commerce Resources, checklists, and a troubleshooting guide for ongoing support Every chapter is designed to help you succeed-normalizing mistakes, celebrating small wins, and building momentum with each lesson. If you've ever felt left behind or anxious about learning machine learning, this book will be your steady guide. With warmth, clarity, and encouragement, you'll gain not just technical skills but the confidence to use them. Start your hands-on machine learning journey today. Let this book be your companion as you transform curiosity into real-world expertise-one approachable step at a time.
Mastering Gradient Boosting
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Author : Dr Benjamin Neudorf
language : en
Publisher: Independently Published
Release Date : 2025-09-16
Mastering Gradient Boosting written by Dr Benjamin Neudorf and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Computers categories.
Unlock the Power of Modern Machine Learning-No Experience Required Are you fascinated by the buzz around machine learning but feel overwhelmed by the jargon, math, or where to even start? Maybe you've seen words like CatBoost, LightGBM, or XGBoost in tutorials and forums, but every explanation seems written for experts. You're not alone-and you don't need a computer science degree to master these powerful tools. Mastering Gradient Boosting is your friendly, step-by-step guide to conquering three of today's most essential machine learning libraries. Whether you're an absolute beginner or a curious professional, this book welcomes you with open arms-demystifying complex concepts and turning technical obstacles into practical victories. What Makes This Book Different? Instead of intimidating you with formulas or skipping key steps, this book gently guides you from the basics to hands-on mastery: Zero Prerequisites: No advanced math or coding experience required. Every chapter explains terms, breaks down code, and celebrates your progress. Learn by Doing: Build real projects from scratch using Python and today's most in-demand libraries-CatBoost, LightGBM, and XGBoost. Confidence-Building Approach: Each section is designed to reduce anxiety, normalize mistakes, and transform uncertainty into "aha!" moments. Complete Practical Coverage: Install and set up your environment with ease Understand gradient boosting, decision trees, and ensemble learning Train, tune, and evaluate powerful models with clear, bite-sized code Explore real-world case studies in finance, healthcare, and customer analytics Interpret results and deploy models for real impact Key Takeaways You'll Gain: Build high-performance ML models for tabular data-even as a beginner Master model evaluation, hyperparameter tuning, and interpretability (SHAP, LIME, etc.) Develop a robust workflow you can use in Kaggle competitions, job interviews, or your own data projects Gain skills trusted by data scientists, analysts, and tech teams worldwide A Supportive Guide for Lifelong Learners Learning machine learning should be empowering-not intimidating. This book meets you where you are, encourages your curiosity, and helps you turn small wins into big breakthroughs. Each chapter ends with tips, encouragement, and next steps, making the journey enjoyable at every turn. Perfect For: Beginners, students, and career-changers Self-learners eager to build job-ready skills Anyone seeking a supportive introduction to CatBoost, LightGBM, and XGBoost Ready to unlock your potential and master the most in-demand machine learning skills? Start your journey with Mastering Gradient Boosting-and see just how far you can go.
The Gradient Boosting Guidebook
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Author : Haider Koele
language : en
Publisher: Independently Published
Release Date : 2025-11-10
The Gradient Boosting Guidebook written by Haider Koele and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-10 with Computers categories.
Unlock the Power of Machine Learning-No Experience Needed! Are you curious about machine learning, but feel overwhelmed by jargon, complicated code, or fear that it's only for "experts"? The Gradient Boosting Guidebook is your friendly, step-by-step companion, crafted especially for beginners who want to confidently build real-world models using Python's most powerful tools-XGBoost, LightGBM, and Scikit-Learn. Imagine moving from confusion to clarity as you master gradient boosting, one of today's most important and in-demand techniques for data science and AI. Whether you dream of winning a Kaggle competition, landing a data science job, or simply understanding how modern predictions work, this book meets you exactly where you are-no prior programming or math background required. Inside, you'll discover: Crystal-Clear Explanations: Complex concepts like ensemble learning and model tuning are broken down into simple, friendly language anyone can understand. Hands-On Projects: Build practical machine learning solutions step by step, from data preparation and feature engineering to model deployment-perfect for portfolio-building or classroom use. Beginner-Friendly Python Tutorials: Get started fast, with easy instructions for installing and using the core Python ML libraries, even if you've never coded before. Real-World Applications: Work through guided projects that mirror real business and analytics challenges-like credit risk analysis, price prediction, and more. Troubleshooting and Cheat Sheets: Find quick help for common errors and reference guides to speed up your learning, reduce frustration, and celebrate every breakthrough. Supportive Tone: You'll find encouragement at every turn, with stories, tips, and "personal insight" that normalize mistakes and show you that learning is about growth, not perfection. Key Takeaways: Learn how to use gradient boosting to solve real problems with confidence Gain practical experience with XGBoost, LightGBM, and Scikit-Learn Master data cleaning, feature engineering, and hyperparameter tuning Build models that you can explain, deploy, and trust Embrace mistakes as part of the journey and celebrate each small win This isn't just a technical manual-it's your launchpad into the world of data science. If you've ever thought "I'm not technical enough," this guide is here to prove you wrong and show you just how capable you are. Every chapter builds your skills and confidence, guiding you from your very first model to deploying machine learning solutions you'll be proud of. Ready to turn uncertainty into expertise and make your mark in data science? Start your journey with The Gradient Boosting Guidebook and discover how approachable, practical, and empowering machine learning can be!