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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introductory Graph Theory with Applications
Free Download Fred Buckley, "Introductory Graph Theory with Applications"
English | ISBN: 1478611758 | 2013 | 365 pages | PDF | 9 MB
Graph theory's practical applications extend not only across multiple areas of mathematics and computer science but also throughout the social sciences, business, engineering, and other subjects. Buckley and Lewinter have written their text with students of all these disciplines in mind. Pedagogically rich, the authors provide hundreds of worked-out examples, figures, and exercises of varying degrees of difficulty. Concepts are presented in a readable and accessible manner, and applications are stressed throughout so the reader never loses sight of the powerful tools graph theory provides to solve real-world problems. Such diverse areas as job assignment, delivery truck routing, location of emergency or service facilities, network reliability, zoo design, exam scheduling, error-correcting codes, facility layout, and the critical path method are covered.

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to the Maths and Physics of Quantum Mechanics
Free Download Introduction to the Maths and Physics of Quantum Mechanics by Lucio Piccirillo
English | October 4, 2023 | ISBN: 0367703025 | 246 pages | MOBI | 4.22 Mb
Introduction to the Maths and Physics of Quantum Mechanics details the mathematics and physics that are needed to learn the principles of quantum mechanics.

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to the Mathematics of Finance Arbitrage and Option Pricing (Repost)
Free Download Steven Roman, "Introduction to the Mathematics of Finance: Arbitrage and Option Pricing"
English | 2012 | pages: 304 | ISBN: 1461435811, 1489985999 | PDF | 2,7 mb
The Mathematics of Finance has been a hot topic ever since the discovery of the Black-Scholes option pricing formulas in 1973. Unfortunately, there are very few undergraduate textbooks in this area. This book is specifically written for advanced undergraduate or beginning graduate students in mathematics, finance or economics. This book concentrates on discrete derivative pricing models, culminating in a careful and complete derivation of the Black-Scholes option pricing formulas as a limiting case of the Cox-Ross-Rubinstein discrete model.

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to the Counseling Profession
Free Download Introduction to the Counseling Profession By David Capuzzi, Douglas R. Gross
2017 | 496 Pages | ISBN: 1138684805 | PDF | 3 MB
Designed for students who are taking a preliminary course in the counseling field, Introduction to the Counseling Profession, 7th Edition, provides a comprehensive overview of the history and foundational concepts of counseling, offering the most current and relevant breadth of coverage available from experts in their respective fields. This edition includes topics rarely discussed in introductory texts, such as self-care and self-growth and the use of technology in counseling, as well as a new chapter on crisis counseling. Chapters also reflect updates to the 2016 Council for the Accreditation of Counseling and Related Educational Programs (CACREP) standards, and a chapter on each CACREP specialization is included. Students will gain insight into the myriad issues that surround not only the process of counseling and its many populations but also the personal dynamics that have an impact on this process. Furthermore, a collection of supplemental resources is available online to benefit both instructors and students. Instructors will find PowerPoint slides and test banks to aid in conducting their courses, and students can access chapter summaries, exercises, and other tools to supplement their review of the material in the text.

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to iOS Development
Free Download Introduction to iOS Development: Getting Started with Swift and Xcode
by oous ak

English | March 29, 2024 | ASIN: B0CZJ75H25 | 160 pages | PDF | 58 Mb

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to Responsible AI Implement Ethical AI Using Python
Free Download Introduction to Responsible AI: Implement Ethical AI Using Python by Avinash Manure, Shaleen Bengani, Saravanan S
English | November 23, 2023 | ISBN: 1484299817 | 196 pages | MOBI | 1.30 Mb
Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to Regular Expressions in SAS
Free Download Introduction to Regular Expressions in SAS By Matthew Windham
2014 | 120 Pages | ISBN: 1612909043 | PDF | 4 MB
Unstructured data is the most voluminous form of data in the world, and analysts rarely receive it in perfect condition for processing. In other words, you often need to clean, transform, and enhance your source data before you can use and derive value from it―especially where textual data is concerned. In Introduction to Regular Expressions in SAS, SAS programmers of virtually all skill levels will learn how to harness the power of Regular Expressions within the SAS programming language for a wide array of everyday applications of unstructured data analyses. This book uses a practical, examples-based approach to walk you through using Regular Expressions for unstructured data processing, and provides you with the foundational information and examples to perform advanced applications. From fuzzy matching to data extraction, this book is a critical reference for any advanced analytics practitioner who needs to leverage SAS software to effectively process their data. This book is part of the SAS Press Program.

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to Python for Managers
Free Download Introduction to Python for Managers: A practical guide to programming in the business world
by Libânia Rangel de Alvarenga Paes

English | March 21, 2024 | ASIN: B0CYTRYS22 | 275 pages | PDF | 67.5 Mb

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to Proteomics Tools for the New Biology (Repost)
Free Download Daniel C. Liebler, "Introduction to Proteomics: Tools for the New Biology"
English | 2001 | pages: 196 | ISBN: 0896039919, 0896039927 | PDF | 5,5 mb
Daniel C. Liebler masterfully introduces the science of proteomics by spelling out the basics of how one analyzes proteins and proteomes, and just how these approaches are then employed to investigate their roles in living systems. He explains the key concepts of proteomics, how the analytical instrumentation works, what data mining and other software tools do, and how these tools can be integrated to study proteomes. Also discussed are how protein and peptide separation techniques are applied in proteomics, how mass spectrometry is used to identify proteins, and how data analysis software enables protein identification and the mapping of modifications. In addition, there are proteomic approaches for analyzing differential protein expression, characterizing proteomic diversity, and dissecting protein-protein interactions and networks.

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  Author: creativelivenew1   |   23 April 2024   |   Comments icon: 0
Introduction to Probability, Statistics & R
Free Download Introduction to Probability, Statistics & R: Foundations for Data-Based Sciences
English | 2024 | ISBN: 3031378644 | 574 Pages | PDF EPUB (True) | 51 MB
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners. The book comprises 19 chapters divided into five parts. Part I introduces basic statistics and the R software package, teaching readers to calculate simple statistics and create basic data graphs. Part II delves into probability concepts, including rules and conditional probability, and introduces widelyused discrete and continuous probability distributions (e.g., binomial, Poisson, normal, log-normal). It concludes with the central limit theorem and joint distributions for multiple random variables. Part III explores statistical inference, covering point and interval estimation, hypothesis testing, and Bayesian inference. This part is intentionally less technical, making it accessible to readers without an extensive mathematical background. Part IV addresses advanced probability and statistical distribution theory, assuming some familiarity with (or concurrent study of) mathematical methods like advanced calculus and linear algebra. Finally, Part V focuses on advanced statistical modelling using simple and multiple regression and analysis of variance, laying the foundation for further studies in machine learning and data science applicable to various data and decision analytics contexts. Based on years of teaching experience, this textbook includes numerousexercises and makes extensive use of R, making it ideal for year-long data science modules and courses. In addition to university courses, the book amply covers the syllabus for the Actuarial Statistics 1 examination of the Institute and Faculty of Actuaries in London. It also provides a solid foundation for postgraduate studies in statistics and probability, or a reliable reference for statistics.

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