Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Interpretable Machine Learning
Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Opening the Black Box
Author: Metin Gurcan
Publisher: Casemate Publishers
ISBN: 1913118436
Category : Political Science
Languages : en
Pages : 314
Book Description
A scholarly analysis of the Turkish military in the 21st century by the Near East policy expert and author of What Went Wrong in Afghanistan. On July 15th, 2016, a faction within the Turkish Armed Forces attempted a coup d’état against sitting President Recep Tayyip Erdoğan. Though the attempt was unsuccessful, the TAF would never be the same. In Opening the Black Box, former Turkish military advisor Metin Gurcan offers a rare look inside the TAF to examine how it has evolved in the 21stcentury. With twenty years of experience inside the Turkish military, both on the field and in the corridors of the Turkish General Staff, as well as extensive academic research, Gurcan provides two detailed snapshots of the TAF: one before July 15thand one after. Offering a complete view of this complex institution, Gurcan offers scholarly perspectives on the TAF as a security organization, a social institution and, in the case of career officers, a profession. Gurcan also examines the evolution of civilian-military relations in Turkey over the last decade with a specific focus on the impact of the July 15 Military Uprising on institutional identity.
Publisher: Casemate Publishers
ISBN: 1913118436
Category : Political Science
Languages : en
Pages : 314
Book Description
A scholarly analysis of the Turkish military in the 21st century by the Near East policy expert and author of What Went Wrong in Afghanistan. On July 15th, 2016, a faction within the Turkish Armed Forces attempted a coup d’état against sitting President Recep Tayyip Erdoğan. Though the attempt was unsuccessful, the TAF would never be the same. In Opening the Black Box, former Turkish military advisor Metin Gurcan offers a rare look inside the TAF to examine how it has evolved in the 21stcentury. With twenty years of experience inside the Turkish military, both on the field and in the corridors of the Turkish General Staff, as well as extensive academic research, Gurcan provides two detailed snapshots of the TAF: one before July 15thand one after. Offering a complete view of this complex institution, Gurcan offers scholarly perspectives on the TAF as a security organization, a social institution and, in the case of career officers, a profession. Gurcan also examines the evolution of civilian-military relations in Turkey over the last decade with a specific focus on the impact of the July 15 Military Uprising on institutional identity.
Challenges in Language Testing Around the World
Author: Betty Lanteigne
Publisher: Springer Nature
ISBN: 9813342323
Category : Education
Languages : en
Pages : 553
Book Description
This book combines insights from language assessment literacy and critical language testing through critical analyses and research about challenges in language assessment around the world. It investigates problematic practices in language testing which are relevant to language test users such as language program directors, testing centers, and language teachers, as well as teachers-in-training in Graduate Diploma and Master of Arts in Applied Linguistics programs. These issues involve aspects of language testing such as test development, test administration, scoring, and interpretation/use of test results. Chapters in this volume discuss insights about language testing policy, testing world languages, developing program-level language tests and tests of specific language skills, and language assessment literacy. In addition, this book identifies two needs in language testing for further examination: the need for collaboration between language test developers, language test users, and language users, and the need to base language tests on real-world language use.
Publisher: Springer Nature
ISBN: 9813342323
Category : Education
Languages : en
Pages : 553
Book Description
This book combines insights from language assessment literacy and critical language testing through critical analyses and research about challenges in language assessment around the world. It investigates problematic practices in language testing which are relevant to language test users such as language program directors, testing centers, and language teachers, as well as teachers-in-training in Graduate Diploma and Master of Arts in Applied Linguistics programs. These issues involve aspects of language testing such as test development, test administration, scoring, and interpretation/use of test results. Chapters in this volume discuss insights about language testing policy, testing world languages, developing program-level language tests and tests of specific language skills, and language assessment literacy. In addition, this book identifies two needs in language testing for further examination: the need for collaboration between language test developers, language test users, and language users, and the need to base language tests on real-world language use.
Black Box Thinking
Author: Matthew Syed
Publisher: Penguin
ISBN: 069840887X
Category : Business & Economics
Languages : en
Pages : 377
Book Description
Nobody wants to fail. But in highly complex organizations, success can happen only when we confront our mistakes, learn from our own version of a black box, and create a climate where it’s safe to fail. We all have to endure failure from time to time, whether it’s underperforming at a job interview, flunking an exam, or losing a pickup basketball game. But for people working in safety-critical industries, getting it wrong can have deadly consequences. Consider the shocking fact that preventable medical error is the third-biggest killer in the United States, causing more than 400,000 deaths every year. More people die from mistakes made by doctors and hospitals than from traffic accidents. And most of those mistakes are never made public, because of malpractice settlements with nondisclosure clauses. For a dramatically different approach to failure, look at aviation. Every passenger aircraft in the world is equipped with an almost indestructible black box. Whenever there’s any sort of mishap, major or minor, the box is opened, the data is analyzed, and experts figure out exactly what went wrong. Then the facts are published and procedures are changed, so that the same mistakes won’t happen again. By applying this method in recent decades, the industry has created an astonishingly good safety record. Few of us put lives at risk in our daily work as surgeons and pilots do, but we all have a strong interest in avoiding predictable and preventable errors. So why don’t we all embrace the aviation approach to failure rather than the health-care approach? As Matthew Syed shows in this eye-opening book, the answer is rooted in human psychology and organizational culture. Syed argues that the most important determinant of success in any field is an acknowledgment of failure and a willingness to engage with it. Yet most of us are stuck in a relationship with failure that impedes progress, halts innovation, and damages our careers and personal lives. We rarely acknowledge or learn from failure—even though we often claim the opposite. We think we have 20/20 hindsight, but our vision is usually fuzzy. Syed draws on a wide range of sources—from anthropology and psychology to history and complexity theory—to explore the subtle but predictable patterns of human error and our defensive responses to error. He also shares fascinating stories of individuals and organizations that have successfully embraced a black box approach to improvement, such as David Beckham, the Mercedes F1 team, and Dropbox.
Publisher: Penguin
ISBN: 069840887X
Category : Business & Economics
Languages : en
Pages : 377
Book Description
Nobody wants to fail. But in highly complex organizations, success can happen only when we confront our mistakes, learn from our own version of a black box, and create a climate where it’s safe to fail. We all have to endure failure from time to time, whether it’s underperforming at a job interview, flunking an exam, or losing a pickup basketball game. But for people working in safety-critical industries, getting it wrong can have deadly consequences. Consider the shocking fact that preventable medical error is the third-biggest killer in the United States, causing more than 400,000 deaths every year. More people die from mistakes made by doctors and hospitals than from traffic accidents. And most of those mistakes are never made public, because of malpractice settlements with nondisclosure clauses. For a dramatically different approach to failure, look at aviation. Every passenger aircraft in the world is equipped with an almost indestructible black box. Whenever there’s any sort of mishap, major or minor, the box is opened, the data is analyzed, and experts figure out exactly what went wrong. Then the facts are published and procedures are changed, so that the same mistakes won’t happen again. By applying this method in recent decades, the industry has created an astonishingly good safety record. Few of us put lives at risk in our daily work as surgeons and pilots do, but we all have a strong interest in avoiding predictable and preventable errors. So why don’t we all embrace the aviation approach to failure rather than the health-care approach? As Matthew Syed shows in this eye-opening book, the answer is rooted in human psychology and organizational culture. Syed argues that the most important determinant of success in any field is an acknowledgment of failure and a willingness to engage with it. Yet most of us are stuck in a relationship with failure that impedes progress, halts innovation, and damages our careers and personal lives. We rarely acknowledge or learn from failure—even though we often claim the opposite. We think we have 20/20 hindsight, but our vision is usually fuzzy. Syed draws on a wide range of sources—from anthropology and psychology to history and complexity theory—to explore the subtle but predictable patterns of human error and our defensive responses to error. He also shares fascinating stories of individuals and organizations that have successfully embraced a black box approach to improvement, such as David Beckham, the Mercedes F1 team, and Dropbox.
Implementation and the Policy Process
Author: Dennis Palumbo
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 288
Book Description
This book presents an overview of why implementation research has contributed to a major reconsideration of the process of policy formation and offers conceptual frameworks that employ implementation research to develop a fuller understanding of the entire policy process. The contributors caution the error of assuming that implementation is the main factor in policy making and that once implementation is taken care of, policies will be effective. They attempt to place implementation in the broader policymaking process and show its relationship to the other parts of the policy cycle. Additionally, several of the contributors develop explanatory models that cut across the research dichotomies of the prevailing top-down and bottom-up approaches and establish an agenda for future research.
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 288
Book Description
This book presents an overview of why implementation research has contributed to a major reconsideration of the process of policy formation and offers conceptual frameworks that employ implementation research to develop a fuller understanding of the entire policy process. The contributors caution the error of assuming that implementation is the main factor in policy making and that once implementation is taken care of, policies will be effective. They attempt to place implementation in the broader policymaking process and show its relationship to the other parts of the policy cycle. Additionally, several of the contributors develop explanatory models that cut across the research dichotomies of the prevailing top-down and bottom-up approaches and establish an agenda for future research.
Black Box
Author: Jennifer Egan
Publisher: Hachette UK
ISBN: 1472102819
Category : Fiction
Languages : en
Pages : 44
Book Description
'Close your eyes and slowly count backward from ten.' America, the near future. A young spy on a mission logs her observations. The result is an intense thriller, and a minute dissection of the experience of a woman whose beauty is also her camouflage, for whom control relies on submission: a woman whose success - whose life - depends on being seen and not seen. Originally published online via Twitter by @NYerFiction, Jennifer Egan's first new fiction since the phenomenal success of A Visit From the Goon Squad is a taut, compulsive work of unrelenting genius.
Publisher: Hachette UK
ISBN: 1472102819
Category : Fiction
Languages : en
Pages : 44
Book Description
'Close your eyes and slowly count backward from ten.' America, the near future. A young spy on a mission logs her observations. The result is an intense thriller, and a minute dissection of the experience of a woman whose beauty is also her camouflage, for whom control relies on submission: a woman whose success - whose life - depends on being seen and not seen. Originally published online via Twitter by @NYerFiction, Jennifer Egan's first new fiction since the phenomenal success of A Visit From the Goon Squad is a taut, compulsive work of unrelenting genius.
The Black Box Society
Author: Frank Pasquale
Publisher: Harvard University Press
ISBN: 0674967100
Category : Law
Languages : en
Pages : 320
Book Description
Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
Publisher: Harvard University Press
ISBN: 0674967100
Category : Law
Languages : en
Pages : 320
Book Description
Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
Data Science for Economics and Finance
Author: Sergio Consoli
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Boxes
Author: Susanne Bauer
Publisher:
ISBN: 9781912729067
Category :
Languages : en
Pages : 628
Book Description
A book full of boxes. A box in itself. An unboxing. This book explores boxes in their broadest sense and size. It invites us to step into the field, unravel how and why things are contained and how it might be otherwise. By turning the focus of Science and Technology Studies (STS) to boxing practices, this collation of essays examines boxes as world-making devices. Gathered in the format of a field guide, it offers an introduction to ways of ordering the world, unpacking their boxed-up, largely invisible politics and epistemics. Performatively, pushing against conventional uses of academic books, this volume is about rethinking taken-for-granted formats and infrastructures of scholarly ordering - thinking, writing, reading. It diverges from encyclopedic logics and representative overviews of boxing practices and the architectural organization of monographs and edited volumes through a single, overarching argument. This book asks its users to leave well-trodden paths of linear and comprehensive reading and invites them to read sideways, creating their own orders through associations and relating. Thus, this book is best understood as an intervention, a beginning, an open box, a slim volume that needs expansion and further experiments with ordering by its users.
Publisher:
ISBN: 9781912729067
Category :
Languages : en
Pages : 628
Book Description
A book full of boxes. A box in itself. An unboxing. This book explores boxes in their broadest sense and size. It invites us to step into the field, unravel how and why things are contained and how it might be otherwise. By turning the focus of Science and Technology Studies (STS) to boxing practices, this collation of essays examines boxes as world-making devices. Gathered in the format of a field guide, it offers an introduction to ways of ordering the world, unpacking their boxed-up, largely invisible politics and epistemics. Performatively, pushing against conventional uses of academic books, this volume is about rethinking taken-for-granted formats and infrastructures of scholarly ordering - thinking, writing, reading. It diverges from encyclopedic logics and representative overviews of boxing practices and the architectural organization of monographs and edited volumes through a single, overarching argument. This book asks its users to leave well-trodden paths of linear and comprehensive reading and invites them to read sideways, creating their own orders through associations and relating. Thus, this book is best understood as an intervention, a beginning, an open box, a slim volume that needs expansion and further experiments with ordering by its users.
Microfoundations of Institutions
Author: Patrick Haack
Publisher: Emerald Group Publishing
ISBN: 1787691233
Category : Self-Help
Languages : en
Pages : 325
Book Description
The notion of microfoundations has received growing interest in neo-institutional theory along with an increasing interest in microfoundational research in disciplines such as strategic management and organizational economics.
Publisher: Emerald Group Publishing
ISBN: 1787691233
Category : Self-Help
Languages : en
Pages : 325
Book Description
The notion of microfoundations has received growing interest in neo-institutional theory along with an increasing interest in microfoundational research in disciplines such as strategic management and organizational economics.