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COMPUTER SCIENCE TEXTBOOKS

FILTERS



--------------------------------------------------------------------------------

Language All languages Arabic Azerbaijani Bulgarian Chinese Dutch; Flemish
English French German Greek, Modern (1453-) Italian Japanese Korean Polish
Portuguese Russian Slovenian Spanish; Castilian Swahili Ukrainian License
Attribution (CC BY)
Attribution-ShareAlike
(CC BY-SA)
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Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)
No Rights Reserved (CC0)
Free Documentation License (GNU)
Formats
Hardcopy
eBook
Online
PDF
Google Doc
MS Word
LaTeX
XML
ODF
Order by Date added to library Faculty rating Publication date



THE CRYSTAL BALL INSTRUCTION MANUAL VOLUME TWO: FOUNDATIONS FOR DATA SCIENCE

Copyright Year: 2020

Contributor: Davies

Publisher: University of Mary Washington

License: CC BY-SA

Welcome to Volume Two of the Crystal Ball series: Foundations for Data Science!
I titled the first volume “Introduction to Data Science” because it led you
through a dip-your-toes-in-the-water experience. You took a brief tour through
the various elements in this diverse field and got a feel for what it was all
about.

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INTELIGENCIA ARTIFICIAL APLICADA CON TÉCNICAS DE PROCESAMIENTO DE LENGUAJE
NATURAL Y MACHINE LEARNING EN EL CAMPO DE LA SALUD.

Copyright Year: 2024

Contributors: Varela-Tapia, Acosta-Guzmán, and Oviedo-Peñafiel

Publisher: Editorial Grupo AEA

License: CC BY-NC-SA

La Inteligencia Artificial (IA), el Procesamiento del Lenguaje Natural (NLP) y
el Aprendizaje Automático (ML) han jugado un papel crucial en la lucha contra la
pandemia de Covid-19, proporcionando herramientas tecnológicas valiosas para el
diagnóstico, seguimiento y control de la enfermedad, implementándose soluciones
con IA para mitigar sus efectos. Se propone el diseño de un modelo de ML
aplicando técnicas NLP en el preprocesamiento de texto para poder evaluar la
eficacia del análisis de datos en conversaciones de personas contagiadas del
coronavirus SARS-CoV-2. Se recopiló información de redes sociales como Twitter y
Facebook, y encuestas a contagiados de Covid-19 en la Zona 8 de la provincia del
Guayas. Con estos datos, se entrenó un sistema de clasificación textual
utilizando los algoritmos de Soporte de Máquina Vectorial y Random Forest. El
estudio resultó en una precisión del 96% en ambos modelos, demostrando su
viabilidad para la creación e implementación de clasificadores de texto. Se
logró mejorar el rendimiento del modelo, reduciendo las categorías con más de
200 ocurrencias, lo que resultó en una precisión más elevada sin diferencias
significativas entre ambos modelos. Por último, se desarrolló un sitio web capaz
de clasificar correctamente los síntomas y recomendaciones comentadas por los
pacientes.

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AN INTRODUCTION TO PYTHON JUPYTER NOTEBOOKS FOR COLLEGE MATH TEACHERS

Copyright Year: 2024

Contributors: Isihara, Wagner, Jantsch, and VanDrunen

Publisher: Paul Isihara, Claire Wagner, Peter Jantsch, and Thomas VanDrunen

License: CC BY

This book is an introduction to the use of Python Jupyter Notebooks (JNBs) for
college math teachers and their students. The book is an evolving work in
progress, but we hope this 1st Edition may already be quite useful to a college
math teacher who is interested to use Jupyter Notebooks in their courses. Each
section of the book has been written in the form of a Jupyter Notebook and can
be downloaded using the download button at the top menu bar. In some cases,
additional data files or image files may need to be downloaded as well. All the
files are available in the src folder of the github repository
https://github.com/timothyprojectGiG/JB_Math_Textbook

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MASTERING ENTERPRISE NETWORKS

Copyright Year: 2024

Contributor: Heath Van Horn

Publisher: Embry-Riddle Aeronautical University

License: CC BY

Mastering Enterprise Networks, is a comprehensive guide to building, defending,
and attacking enterprise networks. It covers a wide range of topics, from
network fundamentals to advanced security concepts. The book is well-organized
and easy to follow, making it a valuable resource for both beginners and
experienced network professionals.

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INTRODUCTION TO DATA SCIENCE USING PYTHON

Copyright Year: 2024

Contributor: Agah

Publisher: The Pennsylvania Alliance for Design of Open Textbooks (PA-ADOPT)

License: CC BY-NC

This book contains two parts, the first is designed to be used in an
introductory programming course for students looking to learn Python, without
having any prior experience with programming. Basic programming concepts are
discussed, explained, and illustrated with a Python program. Ample programming
questions are provided for practice. The second part of the book utilizes
machine-learning concepts and statistics to accomplish data-driven resolutions.
Python programs are provided to apply scientific computing to conclude
statistically driven results.

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BUILDING USER INTERFACES FOR MODERN WEB APPLICATIONS: REACT PROGRAMMING

Copyright Year: 2024

Contributor: Yang

Publisher: The Pennsylvania Alliance for Design of Open Textbooks (PA-ADOPT)

License: CC BY-NC

Since Facebook released React as an open-source software library for front-end
programming in 2013, React has gain popularity quickly. Although there are other
frameworks or libraries, React is considered a programmer-friendly JavaScript
library using the functional programming approach for the front-end web
application development. Teaching and learning React can provide training in
Functional Programming, Software Engineering Principles, and the Event-Driven
Programming Paradigm. The ultimate goal of this eTextbook is to provide a timely
support for teaching the state-of-the-art technology as the React ecosystem
evolves.

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RESEARCH DATA MANAGEMENT IN THE CANADIAN CONTEXT

Copyright Year: 2023

Contributors: Carlisle-Johnston, Dennie, Fortin, Hill, and Thompson

Publisher: Western University

License: CC BY-NC

Research Data Management is a term for all the things that researchers do to
structure, organize and maintain data before, during and after doing research.
RDM is also an emerging discipline that is concerned with researching and
developing ways to manage research data more effectively. But what is research
data? Where is the push towards formal Research Data Management coming from?
What are the requirements of good data management? Research Data Management in
the Canadian Context: A Guide for Practitioners and Learners looks at these
questions and more, all with a focus on Canadian guidelines, regulations and
infrastructure.



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FORTALECIMIENTO METODOLÓGICO DE LA SEGURIDAD INFORMÁTICA EN POSGRADOS: ANÁLISIS
Y ESTRATEGIAS DE MEJORA

Copyright Year: 2023

Contributors: Picoy-Gonzales, Huarcaya-Taype, Contreras-Canto, and Omonte-Vilca

Publisher: Editorial Grupo AEA

License: CC BY-NC-SA

El libro de investigación, contiene el informe sistematizado sobre el análisis
de riesgos de la seguridad de la información para la Universidad Nacional
Hermilio Valdizán de Huánuco, tuvo como objetivo realizar el análisis de riesgos
que permita generar controles para minimizar la probabilidad de ocurrencia e
impacto de los riesgos asociados con las vulnerabilidades y amenazas de
seguridad de la información existentes en la Universidad Nacional Hermilio
Valdizán de Huánuco. El método aplicado tuvo la finalidad de profundizar el
análisis e interpretación de los resultados en donde se utilizó el tipo de
investigación aplicada de diseño no experimental, descriptivo, se trabajó con
una muestra total de los activos informáticos de la Universidad Nacional
Hermilio Valdizán de Huánuco, seleccionados mediante el tipo de muestreo no
probabilístico intencional. Para estimar los estadígrafos se usó la estadística
descriptiva e inferencial. Obteniendo como resultado la disminución del riesgo
actual de los activos informáticos a su nivel mínimo.

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HANDBOOK OF SOFTWARE ENGINEERING METHODS - 2ND EDITION

Copyright Year: 2024

Contributor: Letaw

Publisher: Oregon State University

License: CC BY-NC

Software engineering can help people create sustainable, extensible programs
that solve problems people care about.

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AN OPEN GUIDE TO DATA STRUCTURES AND ALGORITHMS

Copyright Year: 2023

Contributors: Bible, Moser, and Scarlato

Publisher: PALNI

License: CC BY

This textbook serves as a gentle introduction for undergraduates to theoretical
concepts in data structures and algorithms in computer science while providing
coverage of practical implementation (coding) issues. The field of computer
science (CS) supports a multitude of essential technologies in science,
engineering, and communication as a social medium. The varied and interconnected
nature of computer technology permeates countless career paths making CS a
popular and growing major program. Mastery of the science behind computer
science relies on an understanding of the theory of algorithms and data
structures. These concepts underlie the fundamental tradeoffs that dictate
performance in terms of speed, memory usage, and programming complexity that
separate novice programmers from professional practitioners.

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