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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

Free Download Aptipedia Aptitude Encyclopedia by Team FACE
English | ISBN: 8126562234 | 528 pages | PDF | 11 Mb
Aptipedia is the one-stop solution for anyone aspiring to crack campus placements, bank examinations or other competitive examinations. This book contains three sections - Quantitative Aptitude, Logical Reasoning and Verbal Ability. It provides valuable, reliable, updated and much-needed information on the test patterns of specific mass recruiters including TCS, Wipro, Accenture , Tech Mahindra, Cognizant, IBM, MuSigma, etc.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

Free Download Appropriating Technology: How We Make Digital Tools Our Own (Acting with Technology) by Pierre Tchounikine
English | October 28th, 2025 | ISBN: 0262553872 | 246 pages | True EPUB | 1.05 MB
How we use digital technologies and make them our own.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

Free Download Appropriate Computer Reset Protocols: Achieving Leadership Success via Mindset and Education
English | September 24, 2024 | ASIN: B0DHLTKVG7 | 95 pages | EPUB (True) | 2.68 MB
Reading about the extraordinary space and aviation experiences of the United Arab Emirates (UAE) will provide readers with a wealth of knowledge on leadership, and they may even find the motivation to follow in the footsteps of those who have gone before them. United Arab Emirates (UAE) has made it a priority to accomplish the goal of modernisation and national advancement in the space sector ever since the inception of the aviation industry. This has been the case from the beginning of the aviation industry. When it comes to the United Arab Emirates (UAE), getting into the aviation sector is more than just a science experiment of some kind. cooperating across borders, promoting standards for peaceful space, and participating in diplomatic activities are all examples of successful collaboration. As the project proceeds forward, the lofty goals that Sheikh Zayed bin Sultan Al Nahyan has established will serve as the compass that guides the endeavour. The United Arab Emirates (UAE) is making considerable efforts in the domains of space and aviation, which are helping the country lessen its dependency on fossil fuels. Discover the enormous efforts that the UAE is doing in these areas. All of these investments are very necessary in order to transform the economy of the United Arab Emirates (UAE) into one that is founded on knowledge. As a leader, you have the power to put the knowledge you've gained from this experience to use in order to assist your team in accomplishing extraordinary things. Under the leadership of the United Arab Emirates (UAE), the development of a human colony on Mars is becoming a reality. "Wings of the Desert" is a perfect illustration of the power that can be achieved by imaginative leadership, unrelenting perseverance, and an unquenchable need for knowledge. In addition to acting as a memorial to the United Arab Emirates' continual devotion to growth, cooperation, and innovation, it urges readers to implement these precious leadership ideals into their own distinct lives.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

Free Download Approaches to Road Safety by Peter Sweatman
English | January 29, 2025 | ISBN: 1032769084 | 258 pages | MOBI | 0.85 Mb
Road transport is on a constant course to maintain and improve driving safety in what is a complex process involving multiple forms of risk. It is time for embracing system technologies that give more meaning to the philosophical phrase "safe system" and Approaches to Road Safety: Evolution, Challenges, and Emerging Technologies makes the case for the adoption of safer systems in road transport industries through the embracing of technological paradigms, system attributes and more clearly articulated values.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

Free Download Applied Statistical Models for Modern Quant Finance with Python: Techniques for Forecasting Markets, Measuring Risk, and Designing Quant Systems
English | November 28, 2025 | ASIN: B0G4BGLVZW | 481 pages | Epub | 704.87 KB
Reactive Publishing In the modern markets, every competitive edge is mathematical. This book shows you how to build it. Applied Statistical Models for Modern Quant Finance with Python is a practical, high-performance guide to using statistical methods as real trading and risk engines. Designed for portfolio managers, quants, data scientists, and advanced retail algorithmic traders, it bridges classical statistics with the modeling tools demanded by today's market structure. You'll learn how to construct, test, and deploy statistical systems that interpret market noise, extract signals, and drive execution decisions. Each chapter focuses on practical, applied techniques, rooted in probability theory, regression mechanics, Bayesian inference, time-series structure, distribution modeling, and multivariate analytics, implemented step-by-step in Python. This book gives you a framework for turning statistical intuition into measurable, verifiable performance. You'll build models that forecast volatility, detect structural shifts, measure factor exposures, diagnose regime changes, and quantify uncertainty in dynamic environments. The goal isn't theory for its own sake: it's building tools that can operate inside real markets. Inside, you'll learn how to: * Model distributions, tail-risk, and non-normal return behavior * Build regression, panel, and factor models for trading signals * Apply Bayesian methods to uncertainty, drift, and adaptive systems * Use time-series diagnostics to detect regime shifts and structural breaks * Construct volatility models and error-correction systems * Transform raw market data into deployable Python models * Validate, backtest, and stress-test statistical trading logic * Integrate statistical output into execution, sizing, and portfolio decisions Whether you're designing your first statistical model or refining a full quant pipeline, this book gives you the tools to think, build, and execute like a modern quantitative finance professional. If you want your statistical models to work, not just look good on paper, this is the guide built for you.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

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.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

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.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

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

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

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.

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  Author: creativelivenew1   |   25 January 2026   |   Comments icon: 0

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.

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