Scientific Characters Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Scientific Characters book. This book definitely worth reading, it is an incredibly well-written.
Scientific Characters chronicles the contests over character, knowledge, trust, and truth in a politically charged scientific controversy that erupted after a 1994 Chicago Tribune headline: "Fraud in Breast Cancer Research: Doctor Lied on Data for Decade." Moving back and forth between news coverage, medical journals, letters to the editor, and oncology pamphlets, Lisa Keränen draws insights from rhetoric, literary studies, sociology, and science studies to analyze the roles of character in shaping the outcomes of the "Datagate" controversy.
Academy; a Weekly Review of Literature, Learning, Science and Art by Anonim Pdf
The Poetical gazette; the official organ of the Poetry society and a review of poetical affairs, nos. 4-7 issued as supplements to the Academy, v. 79, Oct. 15, Nov. 5, Dec. 3 and 31, 1910
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R by Samuel E. Buttrey,Lyn R. Whitaker Pdf
The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R. Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more. The only single-source guide to R data and its preparation, it describes best practices for acquiring, manipulating, cleaning, and maintaining data Begins with the basics and walks readers through all the steps necessary to get data ready for the modeling process Provides expert guidance on how to document the processes described so that they are reproducible Written by seasoned professionals, it provides both introductory and advanced techniques Features case studies with supporting data and R code, hosted on a companion website A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.
Presented Discourse in Popular Science by Olga Pilkington Pdf
In Presented Discourse in Popular Science, Olga A. Pilkington explores the forms and functions of the voices of scientists in books written for non-professionals. This analysis is an acknowledgement of the social consequences of popularization.
Introduction to Computer Data Representation by Peter Fenwick Pdf
Introduction to Computer Data Representation introduces readers to the representation of data within computers. Starting from basic principles of number representation in computers, the book covers the representation of both integer and floating point numbers, and characters or text. It comprehensively explains the main techniques of computer arithmetic and logical manipulation. The book also features chapters covering the less usual topics of basic checksums and ‘universal’ or variable length representations for integers, with additional coverage of Gray Codes, BCD codes and logarithmic representations. The description of character coding includes information on both MIME and Unicode formats. Introduction to Computer Data Representation also includes historical aspects of data representation, explaining some of the steps that developers took (and the mistakes they made) that led to the present, well-defined and accepted standards of data representation techniques. The book serves as a primer for advanced computer science graduates and a handy reference for anyone wanting to learn about numbers and data representation in computers.
Author : S. Pearl Brilmyer Publisher : University of Chicago Press Page : 300 pages File Size : 46,6 Mb Release : 2022-01-11 Category : History ISBN : 9780226815787
"In 1843, the Victorian political theorist John Stuart Mill outlined a new science, "the science of the formation of character." Although Mill's proposal failed as scientific practice, S. Pearl Brilmyer shows that it survived in the work of Victorian novelists, who cultivated a narrative science of human nature. Brilmyer explores this characterological project in the work of such novelists as George Eliot, Thomas Hardy, and Olive Schreiner. Bringing to life Mill's unrealized dream of a science of character, Victorian realists used fiction to investigate the nature of embodied experience, how traits and behaviors in human and nonhuman organisms emerge and develop, and how aesthetic features-shapes, colors, and gestures-come to take on cultural meaning through certain categories, such as race and sex. In the hands of these authors, Brilmyer argues, literature became a science, not in the sense that its claims were falsifiable or even systematically articulated, but in its commitment to uncovering, through a fictional staging of realistic events, the universal laws governing human life. The Science of Character offers brilliant insights into important novels of the period, including Eliot's Middlemarch, and a fuller picture of English realism during the crucial span between 1870 and 1920"--
