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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration! ![]() Free Download Applied Statistical Methods by W. Holmes Finch English | June 23, 2025 | ISBN: 1032459344 | 374 pages | MOBI | 9.68 Mb This book is designed to provide students, teachers, and researchers with a text that includes a full range of statistical methods available to address commonly encountered research problems. Many textbooks for introductory, intermediate, and advanced statistics courses focus heavily on parametric methods. However, in practice, the assumptions underlying these methods are frequently not met, therefore calling into question their use. This book addresses this issue by presenting parametric, nonparametric, robust, and Bayesian techniques that are appropriate for research scenarios often encountered in practice and typically found in statistics courses. For each of these major topics, the standard parametric approach is presented, along with the assumptions underlying it and the methods used to assess the viability of these assumptions. Next, a set of alternative techniques for the research scenario is presented and applied to the motivating example that begins each chapter. Each chapter concludes with a summary focused on how researchers should select which method to use when and a summary of the material covered in the chapter. The chapters have motivating examples that serve as an anchor for discussion of the featured methods. The focus of the chapters is intended to be conceptual (as opposed to highly technical) to make the text useful to individuals with a wide array of statistical backgrounds. More technical material is included in each chapter for interested readers and instructors who would like to focus more attention on it. Instructors will be able to use this book as a main text in introductory, intermediate, and some specialized statistics courses such as nonparametric and robust methods. In addition, researchers and data analysts from a wide array of disciplines will be able to use this book as a primary resource in their work. ![]() Free Download Applied Soft Computing Techniques by Samarjeet Borah, Ratna Raja Kumar Jambi, Sharifah Sakinah Syed Ahmad English | July 10, 2025 | ISBN: 1774918846 | 464 pages | MOBI | 35 Mb Soft computing techniques have the ability to handle complex, uncertain, and imprecise information to create usable solutions to convoluted problems, or those just too time-consuming to solve with current hardware. This new book details the use and applications of soft computing technology in several fields, exploring the use of these techniques in biomedical applications, communication technologies, data analytics and applications, image processing and natural language processing. ![]() Free Download Applied Generative AI for Beginners A Practical Guide to Building AI Tools Without Coding: A Practical Guide to Building AI Tools Without Coding English | November 26, 2025 | ASIN: B0G42S2LY9 | 105 pages | EPUB (True) | 561.36 KB Applied Generative AI for Beginners ![]() Free Download Applied Calculus for Data Science: Models, Gradients, and Optimization: A Practical Guide to Derivatives, Gradients, and Learning Algorithms English | November 28, 2025 | ASIN: B0G4BGQ5JX | 523 pages | Epub | 648.27 KB Reactive Publishing Every modern data system, machine learning, AI, forecasting, optimization, stands on a mathematical foundation. This book teaches you that foundation with clarity, speed, and practical focus. Applied Calculus for Data Science is built for analysts, machine learning practitioners, quants, and engineers who want to understand the mathematical mechanics behind the models they use. Instead of abstract theory, you learn the core calculus structures that power gradient descent, loss functions, optimization routines, parameter tuning, and model evaluation. You'll build an intuitive understanding of derivatives, integrals, multivariable calculus, and vector calculus, then apply them directly to real data workflows. Each chapter focuses on turning mathematical ideas into practical tools, with step-by-step examples and visualizations to reinforce concepts. What you will learn: * How derivatives shape model sensitivity, gradients, and learning dynamics * The role of integrals in probability, distributions, and data-driven expectations * Partial derivatives, Jacobians, and Hessians for multivariate models * Optimization principles behind modern ML algorithms * Gradient descent, momentum, and adaptive learning mechanics * How calculus underpins loss functions, regularization, and error surfaces * Real examples showing how to apply calculus to regression, classification, and forecasting * Visual intuition for curvature, surfaces, and high-dimensional behavior At its core, this book gives you a working understanding of the mathematical language used across machine learning, AI, statistics, and quantitative modeling. It explains not only what the models do, but why they work, and how to refine them with confidence. If you want a practical, accessible path into the calculus engine that drives modern data science, this is the guide built for you. ![]() Free Download Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications (Materials, Devices, and Circuits) by Ravichander Janapati, Usha Desai, Steven L Fernandes English | August 18, 2025 | ISBN: 1032753242 | 184 pages | MOBI | 7.71 Mb 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. ![]() Free Download Applicatitons of Artificial Intelligence - Part 2 by Suyash Prakash English | 2025 | ASIN: B0GCG1ZCG3 | 87 pages | pdf | 15 MB ![]() Free Download Applications of Immersive Technology in Architecture, Engineering and Construction: A Handbook (Spon Research) by Abhinesh Prabhakaran, Abdul-Majeed Mahamadu, Colin A. Booth English | June 27, 2025 | ISBN: 1032657065 | 298 pages | MOBI | 14 Mb This edited book addresses a gap in literature by advancing current understandings of the applications of immersive technology within the architecture, engineering and construction (AEC) sector. ![]() Free Download Applications of Blockchain Technology by Arvind Mewada, Nagendra Singh, Amrendra Singh Yadav English | August 18, 2025 | ISBN: 1032899867 | 280 pages | MOBI | 7.30 Mb This book explores the transformative potential of blockchain technology and shows how blockchain can promote equitable access to resources and bridge societal gaps. It examines blockchain's role in enhancing transparency, security, and decentralisation across various sectors and in society. The book addresses both the advancements and challenges of blockchain, providing practical use cases to understand the opportunities, limitations, and innovative applications of blockchain, envisioning a future where this technology drives significant societal change.Showcases practical use cases in healthcare, finance, governance, supply chain management, and humanitarian aidCovers decentralized finance (DeFi), financial inclusion, asset tokenization, and impact investingInvestigates blockchain's role in environmental conservation, charitable donations, and ethical considerationsExamines scalability, interoperability, security, and regulatory concerns and discusses self-sovereign identity and personal information control through blockchainOffers insights for policymakers on creating a conducive environment for blockchain while safeguarding public interestsThis is a reference for scholars and practitioners interested about the impact of blockchain. ![]() Free Download Application Lifecycle Management on Microsoft Power Platform: A comprehensive guide to managing the deployment of your solutions by Benedikt Bergmann English | October 31, 2024 | ISBN: 1835462324 | 222 pages | EPUB | 12 Mb Implement modern DevOps techniques in the Power Platform to boost business and maker productivity ![]() Free Download Application Development with Go English | Dec 3, 2025 | ISBN: 9798232878757 | 266 pages | EPUB (True) | 273.44 KB Discover the power of Go (Golang), the modern programming language engineered by Google for simplicity, speed, and scalability, in Application Development with Go: A Practical Guide. Written by Noah Wills, this comprehensive first-edition guide (published 2025) empowers beginners and intermediate developers to build robust applications, from web servers and microservices to command-line tools, without overwhelming complexity. |