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Author: Paul Coates
Publisher: Oxford University Press, USA
ISBN: 0198712715
Category : Medical
Languages : en
Pages : 448
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Book Description
A team of distinguished philosophers and psychologists explore the nature of phenomenal qualities, the qualities of conscious experiences, and the ways in which they fit in with our understanding of mind and reality. This volume offers an indispensable resource for anyone wishing to understand the nature of conscious experience.
Author: Paul Coates
Publisher: Oxford University Press, USA
ISBN: 0198712715
Category : Medical
Languages : en
Pages : 448
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Book Description
A team of distinguished philosophers and psychologists explore the nature of phenomenal qualities, the qualities of conscious experiences, and the ways in which they fit in with our understanding of mind and reality. This volume offers an indispensable resource for anyone wishing to understand the nature of conscious experience.
Author: Noah Lemos
Publisher: Cambridge University Press
ISBN: 9780521143455
Category : Philosophy
Languages : en
Pages : 212
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Book Description
Noah Lemos defends the common sense tradition--the view that permits us to justify the philosophical inquiry of many of the things we ordinarily think we know. He discusses the main features of this tradition as expounded by Thomas Reid, G.E. Moore and Roderick Chisholm in a text that will appeal to students and philosophers in epistemology and ethics.
Author: Rik Peels
Publisher: Cambridge University Press
ISBN: 1108476007
Category : Philosophy
Languages : en
Pages : 389
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Book Description
A comprehensive exploration of the historical development and philosophical importance of common-sense philosophy.
Author: Pavel Gregoric
Publisher: Oxford University Press
ISBN: 0199277370
Category : Philosophy
Languages : en
Pages : 267
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Book Description
Gregoric investigates the Aristolian concept of the common sense, which was introduced to explain complex perceptual operations that can't be explained in terms of the five senses taken individually. Such operations include perceiving that the same object is white and sweet, or knowing that one's senses are inactive.
Author: Michael Beaney
Publisher: Oxford Handbooks
ISBN: 0199238847
Category : Philosophy
Languages : en
Pages : 1182
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Book Description
The main stream of academic philosophy, in Anglophone countries and increasingly worldwide, is identified by the name 'analytic'. The study of its history, from the 19th century to the late 20th, has boomed in recent years. These specially commissioned essays by forty leading scholars constitute the most comprehensive book on the subject.
Author: Andrew Bell
Publisher: SAGE
ISBN: 1526493004
Category : Social Science
Languages : en
Pages : 232
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Book Description
The amount of data produced, captured and transmitted through the media has never been greater. But for this data to be useful, it needs to be properly understood and claims made about or with data need to be properly scrutinized. Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims. How accurate are polls, and how should we know? How should league tables be read? Are numbers presented as ‘large’ really as big as they may seem at first glance? By answering these questions and more, readers will learn a number of statistical concepts central to many undergraduate social science statistics courses. By tying them in to real life examples, the importance and relevance of these concepts comes to life. As such, this book does more than teaches techniques needed for a statistics course; it teaches you life skills that we need to use every single day.
Author: Hunter Whitney
Publisher: Newnes
ISBN: 0123877946
Category : Computers
Languages : en
Pages : 321
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Book Description
Data Insights: New Ways to Visualize and Make Sense of Data offers thought-provoking insights into how visualization can foster a clearer and more comprehensive understanding of data. The book offers perspectives from people with different backgrounds, including data scientists, statisticians, painters, and writers. It argues that all data is useless, or misleading, if we do not know what it means.Organized into seven chapters, the book explores some of the ways that data visualization and other emerging approaches can make data meaningful and therefore useful. It also discusses some fundamental ideas and basic questions in the data lifecycle; the process of interactions between people, data, and displays that lead to better questions and more useful answers; and the fundamentals, origins, and purposes of the basic building blocks that are used in data visualization. The reader is introduced to tried and true approaches to understanding users in the context of user interface design, how communications can get distorted, and how data visualization is related to thinking machines. Finally, the book looks at the future of data visualization by assessing its strengths and weaknesses. Case studies from business analytics, healthcare, network monitoring, security, and games, among others, as well as illustrations, thought-provoking quotes, and real-world examples are included.This book will prove useful to computer professionals, technical marketing professionals, content strategists, Web and product designers, and researchers. Demonstrates, with a variety of case studies, how visualizations can foster a clearer and more comprehensive understanding of data Answers the question, "How can data visualization help me?" with discussions of how it fits into a wide array of purposes and situations Makes the case that data visualization is not just about technology; it also involves a deeply human process
Author: Glenn J. Myatt
Publisher: John Wiley & Sons
ISBN: 0470101016
Category : Mathematics
Languages : en
Pages : 294
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Book Description
A practical, step-by-step approach to making sense out of data Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data. Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including: * Problem definitions * Data preparation * Data visualization * Data mining * Statistics * Grouping methods * Predictive modeling * Deployment issues and applications Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data analysis or data mining project. From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relationships in the data, to making predictions from the data, Making Sense of Data addresses the many issues that need to be considered as well as the steps that need to be taken to master data analysis and mining.
Author: Peter Charles List
Publisher:
ISBN:
Category : Philosophy
Languages : en
Pages : 808
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Book Description
Author: Jay Wengrow
Publisher: Pragmatic Bookshelf
ISBN: 1680508059
Category : Computers
Languages : en
Pages : 714
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Book Description
Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.
