Web Site Source Book

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Download Web Site Source Book PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Web Site Source Book book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Mla Style Manual And Guide To Scholarly Publishing

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Author : Joseph Gibaldi
language : en
Publisher: Modern Language Assn of Amer
Release Date : 1998

Mla Style Manual And Guide To Scholarly Publishing written by Joseph Gibaldi and has been published by Modern Language Assn of Amer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Language Arts & Disciplines categories.

The MLA Style Manual has been the standard guide for graduate students, teachers, and scholars in the humanities and for professional writers in many fields. The second edition contains several added sections and updated guidelines on citing electronic works -- including materials found on the World Wide Web. There is an expanded chapter on the publication process, from manuscript to published work, and advice for those seeking to publish their articles or books. A chapter by the attorney Arthur F. Abelman reviews legal issues, such as copyright law, the concept of fair use, the provisions of a typical publishing contract, defamation, and the emergence of privacy law. Other chapters discuss stylistic conventions and the preparation of manuscripts, theses, and dissertations and offer an authoritative and comprehensive presentation of MLA documentation style.

Mla Style Manual And Guide To Scholarly Publishing

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Author : Modern Language Association of America
language : en
Publisher:
Release Date : 2008

Mla Style Manual And Guide To Scholarly Publishing written by Modern Language Association of America and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Education categories.

Provides information on stylistic aspects of research papers, theses, and dissertations, including sections on writing fundamentals, MLA documentation style, and copyright law.

Suggestions To Medical Authors And A M A Style Book

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Author : American Medical Association
language : en
Publisher:
Release Date : 1919

Suggestions To Medical Authors And A M A Style Book written by American Medical Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1919 with Authorship categories.

Mla Handbook

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Author : The Modern Language Association of America
language : en
Publisher: Modern Language Association
Release Date : 2021-04-22

Mla Handbook written by The Modern Language Association of America and has been published by Modern Language Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-22 with Language Arts & Disciplines categories.

Relied on by generations of writers, the MLA Handbook is published by the Modern Language Association and is the only official, authorized book on MLA style. The new, ninth edition builds on the MLA's unique approach to documenting sources using a template of core elements--facts, common to most sources, like author, title, and publication date--that allows writers to cite any type of work, from books, e-books, and journal articles in databases to song lyrics, online images, social media posts, dissertations, and more. With this focus on source evaluation as the cornerstone of citation, MLA style promotes the skills of information and digital literacy so crucial today. The many new and updated chapters make this edition the comprehensive, go-to resource for writers of research papers, and anyone citing sources, from business writers, technical writers, and freelance writers and editors to student writers and the teachers and librarians working with them. Intended for a variety of classroom contexts--middle school, high school, and college courses in composition, communication, literature, language arts, film, media studies, digital humanities, and related fields--the ninth edition of the MLA Handbook offers New chapters on grammar, punctuation, capitalization, spelling, numbers, italics, abbreviations, and principles of inclusive language Guidelines on setting up research papers in MLA format with updated advice on headings, lists, and title pages for group projects Revised, comprehensive, step-by-step instructions for creating a list of works cited in MLA format that are easier to learn and use than ever before A new appendix with hundreds of example works-cited-list entries by publication format, including websites, YouTube videos, interviews, and more Detailed examples of how to find publication information for a variety of sources Newly revised explanations of in-text citations, including comprehensive advice on how to cite multiple authors of a single work Detailed guidance on footnotes and endnotes Instructions on quoting, paraphrasing, summarizing, and avoiding plagiarism A sample essay in MLA format Annotated bibliography examples Numbered sections throughout for quick navigation Advanced tips for professional writers and scholars

Nursing

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Author : Lippincott Williams & Wilkins
language : en
Publisher: Lippincott Williams & Wilkins
Release Date : 2008

Nursing written by Lippincott Williams & Wilkins and has been published by Lippincott Williams & Wilkins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Medical categories.

Covering more than 400 laboratory tests and diagnostic procedures, this handbook is organized by test type and body system. Coverage includes test purpose, normal results, abnormal results, patient preparation, and procedure and post-test care.

Web Site Source Book

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Author :
language : en
Publisher:
Release Date : 2000

Web Site Source Book written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Administrative agencies categories.

A guide to major U.S. businesses, organizations, agencies, institutions, and other information resources on the World Wide Web.

An Introduction To Statistical Learning

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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-06-30

An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Mathematics categories.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Python Data Science Handbook

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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21

Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

R For Data Science

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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12

R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Deep Learning

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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10

Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.