Author: Joseph Gibaldi Publisher: ISBN: Category : Academic writing Languages : en Pages : 384
Book Description
Since its publication in 1985, 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. Extensively reorganized and revised, the new edition contains several added sections and updated guidelines on citing electronic works--including materials found on the World Wide Web.
Author: Beretta E. Smith-Shomade Publisher: Rutgers University Press ISBN: 0813553881 Category : Social Science Languages : en Pages : 280
Book Description
Television scholarship has substantially ignored programming aimed at Black audiences despite a few sweeping histories and critiques. In this volume, the first of its kind, contributors examine the televisual diversity, complexity, and cultural imperatives manifest in programming directed at a Black and marginalized audience. Watching While Black considers its subject from an entirely new angle in an attempt to understand the lives, motivations, distinctions, kindred lines, and individuality of various Black groups and suggest what television might be like if such diversity permeated beyond specialized enclaves. It looks at the macro structures of ownership, producing, casting, and advertising that all inform production, and then delves into television programming crafted to appeal to black audiences—historic and contemporary, domestic and worldwide. Chapters rethink such historically significant programs as Roots and Black Journal, such seemingly innocuous programs as Fat Albert and bro’Town, and such contemporary and culturally complicated programs as Noah’s Arc, Treme, and The Boondocks. The book makes a case for the centrality of these programs while always recognizing the racial dynamics that continue to shape Black representation on the small screen. Painting a decidedly introspective portrait across forty years of Black television, Watching While Black sheds much-needed light on under-examined demographics, broadens common audience considerations, and gives deference to the the preferences of audiences and producers of Black-targeted programming.
Author: Aviel D. Rubin Publisher: Wiley ISBN: 9780471181484 Category : Computers Languages : en Pages : 346
Book Description
"The authors . . . bring wide-ranging experience to this work, moving from theory to hands-on, bit-shoveling practical advice." -Steven M. Bellovin A serious security sourcebook for Web professionals and users. The front door is unlocked and wide open. The alarm's not working and no one's home. All of your valuables, money, and intimate details of your life are just sitting inside, waiting to be taken. No, it's not your house . . . it's your computer. The Web now penetrates every aspect of our lives, from the home PC to the business office. But with each advance in convenience comes a geometric increase in vulnerability to the integrity of data and software as well as to the confidentiality of information. Although the flaws inherent in the Web are real, solutions are available. Let Aviel Rubin, Daniel Geer, and Marcus Ranum give you the answers. Here's a book that's valuable today and indispensable for the future. It includes basic and advanced techniques for client-side and server-side security, browser security, writing secure CGI scripts, firewalls, and secure e-commerce. There's a special appendix that demystifies the complex world of cryptography. And the book comes with access to a dedicated Web site containing up-to-the-minute information on the latest security threats and solutions. So whether you're a Webmaster trying to close the door on sites and applications, or an everyday user hoping to keep your desktop safe, this is your essential source on: * Protecting and securing Web pages, search engines, servers, and browsers * Writing impregnable applets and scripts, and avoiding the dangers inherent in every language * Using (and abusing) firewalls and cryptographic controls * Securing commerce and payment transactions
Author: Jane Austen Publisher: ISBN: Category : Languages : en Pages : 272
Book Description
Taken from the poverty of her parents' home in Portsmouth, Fanny Price is brought up with her rich cousins at Mansfield Park, acutely aware of her humble rank and with her cousin Edmund as her sole ally. During her uncle's absence in Antigua, the Crawford's arrive in the neighbourhood bringing with them the glamour of London life and a reckless taste for flirtation. Mansfield Park is considered Jane Austen's first mature work and, with its quiet heroine and subtle examination of social position and moral integrity, one of her most profound.
Author: Ian Goodfellow Publisher: MIT Press ISBN: 0262337371 Category : Computers Languages : en Pages : 801
Book Description
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.
Author: Joseph Gibaldi
Author: American Medical Association
Author: Beretta E. Smith-Shomade
Author: Aviel D. Rubin
Author: Jane Austen
Author: Elizabeth S Mills
Author: Christopher Jon Sprigman
Author: 
Author: Ian Goodfellow
Author: Suzy Rabbat