Author: David Finkelstein
Publisher: Routledge
ISBN: 1134380062
Category : Social Science
Languages : en
Pages : 167
Book Description
This is a comprehensive introduction to books and print culture which examines the move from the spoken word to written texts, the book as commodity, the power and profile of readers, and the future of the book in an electronic age.
An Introduction to Book History
Author: David Finkelstein
Publisher: Routledge
ISBN: 1134380062
Category : Social Science
Languages : en
Pages : 167
Book Description
This is a comprehensive introduction to books and print culture which examines the move from the spoken word to written texts, the book as commodity, the power and profile of readers, and the future of the book in an electronic age.
Publisher: Routledge
ISBN: 1134380062
Category : Social Science
Languages : en
Pages : 167
Book Description
This is a comprehensive introduction to books and print culture which examines the move from the spoken word to written texts, the book as commodity, the power and profile of readers, and the future of the book in an electronic age.
An Introduction to the Book of Abraham
Author: John Laurence Gee
Publisher:
ISBN: 9781944394066
Category : Mormon Church
Languages : en
Pages :
Book Description
When the Book of Abraham was first published to the world in 1842, it was published as "a translation of some ancient records that have fallen into [Joseph Smith's] hands from the catacombs of Egypt, purporting to be the writings of Abraham while he was in Egypt, called 'The Book of Abraham, Written by his Own Hand, upon Papyrus.'" The resultant record was thus connected with the papyri once owned by Joseph Smith, though which papyrus of the four or five in his possession was never specified. Those papyri would likely interest only a few specialists--were the papyri not bound up in a religious controversy. This controversy covers a number of interrelated issues, and an even greater number of theories have been put forward about these issues. Given the amount of information available, the various theories, and the variety of fields of study the subject requires, misunderstandings and misinformation often prevail. The goal with the Introduction to the Book of Abraham is to make reliable information about the Book of Abraham accessible to the general reader.
Publisher:
ISBN: 9781944394066
Category : Mormon Church
Languages : en
Pages :
Book Description
When the Book of Abraham was first published to the world in 1842, it was published as "a translation of some ancient records that have fallen into [Joseph Smith's] hands from the catacombs of Egypt, purporting to be the writings of Abraham while he was in Egypt, called 'The Book of Abraham, Written by his Own Hand, upon Papyrus.'" The resultant record was thus connected with the papyri once owned by Joseph Smith, though which papyrus of the four or five in his possession was never specified. Those papyri would likely interest only a few specialists--were the papyri not bound up in a religious controversy. This controversy covers a number of interrelated issues, and an even greater number of theories have been put forward about these issues. Given the amount of information available, the various theories, and the variety of fields of study the subject requires, misunderstandings and misinformation often prevail. The goal with the Introduction to the Book of Abraham is to make reliable information about the Book of Abraham accessible to the general reader.
Introduction to Art: Design, Context, and Meaning
Author: Pamela Sachant
Publisher: Good Press
ISBN:
Category : Art
Languages : en
Pages : 614
Book Description
Introduction to Art: Design, Context, and Meaning offers a deep insight and comprehension of the world of Art. Contents: What is Art? The Structure of Art Significance of Materials Used in Art Describing Art - Formal Analysis, Types, and Styles of Art Meaning in Art - Socio-Cultural Contexts, Symbolism, and Iconography Connecting Art to Our Lives Form in Architecture Art and Identity Art and Power Art and Ritual Life - Symbolism of Space and Ritual Objects, Mortality, and Immortality Art and Ethics
Publisher: Good Press
ISBN:
Category : Art
Languages : en
Pages : 614
Book Description
Introduction to Art: Design, Context, and Meaning offers a deep insight and comprehension of the world of Art. Contents: What is Art? The Structure of Art Significance of Materials Used in Art Describing Art - Formal Analysis, Types, and Styles of Art Meaning in Art - Socio-Cultural Contexts, Symbolism, and Iconography Connecting Art to Our Lives Form in Architecture Art and Identity Art and Power Art and Ritual Life - Symbolism of Space and Ritual Objects, Mortality, and Immortality Art and Ethics
Introduction to Information Retrieval
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Introduction to Business
Author: Lawrence J. Gitman
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1455
Book Description
Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1455
Book Description
Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
The Scribe Method
Author: Tucker Max
Publisher: Lioncrest Publishing
ISBN: 1544514050
Category : Reference
Languages : en
Pages : 312
Book Description
Ready to write your book? So why haven’t you done it yet? If you’re like most nonfiction authors, fears are holding you back. Sound familiar? Is my idea good enough? How do I structure a book? What exactly are the steps to write it? How do I stay motivated? What if I actually finish it, and it’s bad? Worst of all: what if I publish it, and no one cares? How do I know if I’m even doing the right things? The truth is, writing a book can be scary and overwhelming—but it doesn’t have to be. There’s a way to know you’re on the right path and taking the right steps. How? By using a method that’s been validated with thousands of other Authors just like you. In fact, it’s the same exact process used to produce dozens of big bestsellers–including David Goggins’s Can’t Hurt Me, Tiffany Haddish’s The Last Black Unicorn, and Joey Coleman’s Never Lose a Customer Again. The Scribe Method is the tested and proven process that will help you navigate the entire book-writing process from start to finish–the right way. Written by 4x New York Times Bestselling Author Tucker Max and publishing expert Zach Obront, you’ll learn the step-by-step method that has helped over 1,500 authors write and publish their books. Now a Wall Street Journal Bestseller itself, The Scribe Method is specifically designed for business leaders, personal development gurus, entrepreneurs, and any expert in their field who has accumulated years of hard-won knowledge and wants to put it out into the world. Forget the rest of the books written by pretenders. This is the ultimate resource for anyone who wants to professionally write a great nonfiction book.
Publisher: Lioncrest Publishing
ISBN: 1544514050
Category : Reference
Languages : en
Pages : 312
Book Description
Ready to write your book? So why haven’t you done it yet? If you’re like most nonfiction authors, fears are holding you back. Sound familiar? Is my idea good enough? How do I structure a book? What exactly are the steps to write it? How do I stay motivated? What if I actually finish it, and it’s bad? Worst of all: what if I publish it, and no one cares? How do I know if I’m even doing the right things? The truth is, writing a book can be scary and overwhelming—but it doesn’t have to be. There’s a way to know you’re on the right path and taking the right steps. How? By using a method that’s been validated with thousands of other Authors just like you. In fact, it’s the same exact process used to produce dozens of big bestsellers–including David Goggins’s Can’t Hurt Me, Tiffany Haddish’s The Last Black Unicorn, and Joey Coleman’s Never Lose a Customer Again. The Scribe Method is the tested and proven process that will help you navigate the entire book-writing process from start to finish–the right way. Written by 4x New York Times Bestselling Author Tucker Max and publishing expert Zach Obront, you’ll learn the step-by-step method that has helped over 1,500 authors write and publish their books. Now a Wall Street Journal Bestseller itself, The Scribe Method is specifically designed for business leaders, personal development gurus, entrepreneurs, and any expert in their field who has accumulated years of hard-won knowledge and wants to put it out into the world. Forget the rest of the books written by pretenders. This is the ultimate resource for anyone who wants to professionally write a great nonfiction book.
Reinforcement Learning, second edition
Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549
Book Description
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549
Book Description
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Independent Component Analysis
Author: James V. Stone
Publisher: MIT Press
ISBN: 9780262693158
Category : Computers
Languages : en
Pages : 224
Book Description
A tutorial-style introduction to a class of methods for extracting independent signals from a mixture of signals originating from different physical sources; includes MatLab computer code examples. Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to telecommunications and stock predictions. In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method. An overview establishes the strategy implicit in ICA in terms of its essentially physical underpinnings and describes how ICA is based on the key observations that different physical processes generate outputs that are statistically independent of each other. The book then describes what Stone calls "the mathematical nuts and bolts" of how ICA works. Presenting only essential mathematical proofs, Stone guides the reader through an exploration of the fundamental characteristics of ICA. Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code.
Publisher: MIT Press
ISBN: 9780262693158
Category : Computers
Languages : en
Pages : 224
Book Description
A tutorial-style introduction to a class of methods for extracting independent signals from a mixture of signals originating from different physical sources; includes MatLab computer code examples. Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to telecommunications and stock predictions. In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method. An overview establishes the strategy implicit in ICA in terms of its essentially physical underpinnings and describes how ICA is based on the key observations that different physical processes generate outputs that are statistically independent of each other. The book then describes what Stone calls "the mathematical nuts and bolts" of how ICA works. Presenting only essential mathematical proofs, Stone guides the reader through an exploration of the fundamental characteristics of ICA. Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code.
An Introduction to Statistical Learning
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
Book Description
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.
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
Book Description
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.
A Theological Introduction to the Book of Psalms
Author: Prof. J. Clinton McCann JR.
Publisher: Abingdon Press
ISBN: 1426750072
Category : Religion
Languages : en
Pages : 206
Book Description
Taking his point of departure from the newest frontier of research, McCann reads the psalms in the context of their final shape and canonical form. He interprets the psalms as scripture as well as in their character as songs, prayers, and poetry from Israel's history. McCann's intent is to contribute to the church's recovery of the psalms as torah--as instruction, as a guide to prayer, praise of God, and pious living. The explicit connections which McCann draws from the psalms to the New Testament and to Christian faith and life are extensive, making his work suitable for serious study of the psalms in academic and in church settings. An appendix examines the tradition of singing the psalms and offers suggestions for the use of the psalms in worship.
Publisher: Abingdon Press
ISBN: 1426750072
Category : Religion
Languages : en
Pages : 206
Book Description
Taking his point of departure from the newest frontier of research, McCann reads the psalms in the context of their final shape and canonical form. He interprets the psalms as scripture as well as in their character as songs, prayers, and poetry from Israel's history. McCann's intent is to contribute to the church's recovery of the psalms as torah--as instruction, as a guide to prayer, praise of God, and pious living. The explicit connections which McCann draws from the psalms to the New Testament and to Christian faith and life are extensive, making his work suitable for serious study of the psalms in academic and in church settings. An appendix examines the tradition of singing the psalms and offers suggestions for the use of the psalms in worship.