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.
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.
States of Belonging
Author: Tomas R. Jimenez
Publisher: Russell Sage Foundation
ISBN: 0871544814
Category : Social Science
Languages : en
Pages : 278
Book Description
Political turmoil surrounding immigration at the federal level and the inability of Congress to pass comprehensive immigration reform have provided an opening for state and local governments to become more active in setting their own immigration-related policies. States largely dictate the resources, institutions, and opportunities immigrants can access: who can get a driver’s license or attend a state university, what languages are spoken in schools and public offices, how law enforcement interacts with the public, and even what schools teach students about history. In States of Belonging, an interdisciplinary team of immigration experts – Tomás R. Jiménez, Deborah J. Schildkraut, Yuen J. Huo, and John F. Dovidio – explore the interconnections among immigration policies, attitudes about immigrants and immigration, and sense of belonging in two neighboring states – Arizona and New Mexico – with divergent approaches to welcoming newcomers. Arizona and New Mexico are historically and demographically similar, but they differ in their immigration policies. Arizona has enacted unwelcoming policies towards immigrants, restricting the access of immigrants to state resources, social services, and public institutions. New Mexico is more welcoming, actively seeking to protect the rights of immigrants and extending access to state resources and institutions. The authors draw on an original survey and in-depth interviews of a cross-section of each state’s population to illustrate how these differing approaches affect the sense of belonging not only among immigrants, but among the U.S.-born as well. Respondents in Arizona, regardless of whether they were foreign- or native-born or their ethno-racial background, agreed that the state is unwelcoming to immigrants, and they pointed to Arizona’s restrictive policies as the primary factor. The sense of rejection perceived by Latinos in Arizona, including the foreign-born and the U.S.-born, was profound. They felt the effects of administrative and symbolic exclusions of the state’s unwelcoming policies as they went about their daily lives. New Mexico’s more welcoming approach had positive effects on the Latino immigrant population, and these policies contributed to an increased sense of belonging among U.S.-born Latinos and U.S.-born whites as well. The authors show that exposure to information about welcoming policies is associated with an improved sense of belonging across most population groups. They also find that the primary dividing line when it came to reactions to welcoming policies was political, not ethno-racial. Only self-identified Republicans, Latino as well as white, showed reduced feelings of belonging. States of Belonging demonstrates that welcoming policies cultivate a greater sense of belonging for immigrants and other state citizens, suggesting that policies aimed at helping immigrants gain a social, economic, and political foothold in this country can pay a broad societal dividend.
Publisher: Russell Sage Foundation
ISBN: 0871544814
Category : Social Science
Languages : en
Pages : 278
Book Description
Political turmoil surrounding immigration at the federal level and the inability of Congress to pass comprehensive immigration reform have provided an opening for state and local governments to become more active in setting their own immigration-related policies. States largely dictate the resources, institutions, and opportunities immigrants can access: who can get a driver’s license or attend a state university, what languages are spoken in schools and public offices, how law enforcement interacts with the public, and even what schools teach students about history. In States of Belonging, an interdisciplinary team of immigration experts – Tomás R. Jiménez, Deborah J. Schildkraut, Yuen J. Huo, and John F. Dovidio – explore the interconnections among immigration policies, attitudes about immigrants and immigration, and sense of belonging in two neighboring states – Arizona and New Mexico – with divergent approaches to welcoming newcomers. Arizona and New Mexico are historically and demographically similar, but they differ in their immigration policies. Arizona has enacted unwelcoming policies towards immigrants, restricting the access of immigrants to state resources, social services, and public institutions. New Mexico is more welcoming, actively seeking to protect the rights of immigrants and extending access to state resources and institutions. The authors draw on an original survey and in-depth interviews of a cross-section of each state’s population to illustrate how these differing approaches affect the sense of belonging not only among immigrants, but among the U.S.-born as well. Respondents in Arizona, regardless of whether they were foreign- or native-born or their ethno-racial background, agreed that the state is unwelcoming to immigrants, and they pointed to Arizona’s restrictive policies as the primary factor. The sense of rejection perceived by Latinos in Arizona, including the foreign-born and the U.S.-born, was profound. They felt the effects of administrative and symbolic exclusions of the state’s unwelcoming policies as they went about their daily lives. New Mexico’s more welcoming approach had positive effects on the Latino immigrant population, and these policies contributed to an increased sense of belonging among U.S.-born Latinos and U.S.-born whites as well. The authors show that exposure to information about welcoming policies is associated with an improved sense of belonging across most population groups. They also find that the primary dividing line when it came to reactions to welcoming policies was political, not ethno-racial. Only self-identified Republicans, Latino as well as white, showed reduced feelings of belonging. States of Belonging demonstrates that welcoming policies cultivate a greater sense of belonging for immigrants and other state citizens, suggesting that policies aimed at helping immigrants gain a social, economic, and political foothold in this country can pay a broad societal dividend.
Introduction to Applied Linear Algebra
Author: Stephen Boyd
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477
Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477
Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Statement of the Case of Sir R. Stanford ... with copies of documents in authentication or illustration of his services and claims
Author: Sir Robert STANFORD
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
Book Description
Modern Statistics for Modern Biology
Author: SUSAN. HUBER HOLMES (WOLFGANG.)
Publisher: Cambridge University Press
ISBN: 1108427022
Category : Biometry
Languages : en
Pages : 407
Book Description
Publisher: Cambridge University Press
ISBN: 1108427022
Category : Biometry
Languages : en
Pages : 407
Book Description
Stanny
Author: Paul R. Baker
Publisher:
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 536
Book Description
Baker, working with previously unpublished materials, breathes new life into this legendary man who dominated American architecture at the turn of the twentieth century and gained infamy in the sensational manner of his death and the subsequent trial of his murderer. 50 black-and-white photos.
Publisher:
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 536
Book Description
Baker, working with previously unpublished materials, breathes new life into this legendary man who dominated American architecture at the turn of the twentieth century and gained infamy in the sensational manner of his death and the subsequent trial of his murderer. 50 black-and-white photos.
Raised Right
Author: Jeffrey R. Dudas
Publisher: Stanford University Press
ISBN: 1503601730
Category : Law
Languages : en
Pages : 225
Book Description
How has the modern conservative movement thrived in spite of the lack of harmony among its constituent members? What, and who, holds together its large corporate interests, small-government libertarians, social and racial traditionalists, and evangelical Christians? Raised Right pursues these questions through a cultural study of three iconic conservative figures: National Review editor William F. Buckley, Jr., President Ronald Reagan, and Supreme Court Justice Clarence Thomas. Examining their papers, writings, and rhetoric, Jeffrey R. Dudas identifies what he terms a "paternal rights discourse"—the arguments about fatherhood and rights that permeate their personal lives and political visions. For each, paternal discipline was crucial to producing autonomous citizens worthy and capable of self-governance. This paternalist logic is the cohesive agent for an entire conservative movement, uniting its celebration of "founding fathers," past and present, constitutional and biological. Yet this discourse produces a paradox: When do authoritative fathers transfer their rights to these well-raised citizens? This duality propels conservative politics forward with unruly results. The mythology of these American fathers gives conservatives something, and someone, to believe in—and therein lies its timeless appeal.
Publisher: Stanford University Press
ISBN: 1503601730
Category : Law
Languages : en
Pages : 225
Book Description
How has the modern conservative movement thrived in spite of the lack of harmony among its constituent members? What, and who, holds together its large corporate interests, small-government libertarians, social and racial traditionalists, and evangelical Christians? Raised Right pursues these questions through a cultural study of three iconic conservative figures: National Review editor William F. Buckley, Jr., President Ronald Reagan, and Supreme Court Justice Clarence Thomas. Examining their papers, writings, and rhetoric, Jeffrey R. Dudas identifies what he terms a "paternal rights discourse"—the arguments about fatherhood and rights that permeate their personal lives and political visions. For each, paternal discipline was crucial to producing autonomous citizens worthy and capable of self-governance. This paternalist logic is the cohesive agent for an entire conservative movement, uniting its celebration of "founding fathers," past and present, constitutional and biological. Yet this discourse produces a paradox: When do authoritative fathers transfer their rights to these well-raised citizens? This duality propels conservative politics forward with unruly results. The mythology of these American fathers gives conservatives something, and someone, to believe in—and therein lies its timeless appeal.
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.
The Encyclopedia of Philosophy
Author: Donald M. Borchert
Publisher: Macmillan Reference USA
ISBN: 9780028646510
Category : Philosophy
Languages : en
Pages : 0
Book Description
The first English-language reference of its kind, The Encyclopedia of Philosophy was hailed as 'a remarkable and unique work' (Saturday Review) that contained 'the international who's who of philosophy and cultural history' (Library Journal).
Publisher: Macmillan Reference USA
ISBN: 9780028646510
Category : Philosophy
Languages : en
Pages : 0
Book Description
The first English-language reference of its kind, The Encyclopedia of Philosophy was hailed as 'a remarkable and unique work' (Saturday Review) that contained 'the international who's who of philosophy and cultural history' (Library Journal).
Systems Concepts in Action
Author: Bob Williams
Publisher: Stanford University Press
ISBN: 0804770638
Category : Business & Economics
Languages : en
Pages : 439
Book Description
Systems Concepts in Action: A Practitioner's Toolkit offers out a wide range of systems methods to help readers investigate, evaluate and intervene in complex messy situations.
Publisher: Stanford University Press
ISBN: 0804770638
Category : Business & Economics
Languages : en
Pages : 439
Book Description
Systems Concepts in Action: A Practitioner's Toolkit offers out a wide range of systems methods to help readers investigate, evaluate and intervene in complex messy situations.