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Author: Denis Boyles
Publisher: Vintage
ISBN: 0307389782
Category : History
Languages : en
Pages : 466
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Book Description
Everything Explained That Is Explainable is the audacious, utterly improbable story of the publication of the Eleventh Edition of the legendary Encyclopædia Britannica. It is the tale of a young American entrepreneur who rescued a dying publication with the help of a floundering newspaper, and in so doing produced a series of books that forever changed the face of publishing. Thanks to the efforts of 1,500 contributors, among them a young staff of university graduates as well as some of the most distinguished names of the day, the Eleventh Edition combined scholarship and readability in a way no previous encyclopedia had (or ever has again). Denis Boyles’s work of cultural history pulls back the curtain on the 44-million-word testament to the age of reason that has profoundly shaped the way we see the world.
Author: Denis Boyles
Publisher: Vintage
ISBN: 0307389782
Category : History
Languages : en
Pages : 466
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Book Description
Everything Explained That Is Explainable is the audacious, utterly improbable story of the publication of the Eleventh Edition of the legendary Encyclopædia Britannica. It is the tale of a young American entrepreneur who rescued a dying publication with the help of a floundering newspaper, and in so doing produced a series of books that forever changed the face of publishing. Thanks to the efforts of 1,500 contributors, among them a young staff of university graduates as well as some of the most distinguished names of the day, the Eleventh Edition combined scholarship and readability in a way no previous encyclopedia had (or ever has again). Denis Boyles’s work of cultural history pulls back the curtain on the 44-million-word testament to the age of reason that has profoundly shaped the way we see the world.
Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
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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.
Author: Ursula Renz
Publisher: Oxford University Press
ISBN: 0199350167
Category : Philosophy
Languages : en
Pages : 329
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Book Description
This book reconstructs Spinoza's theory of the human mind against the backdrop of the twofold notion that subjective experience is explainable and that its successful explanation is of ethical relevance, because it makes us wiser, freer, and happier. Doing so, the book defends a realist rationalist interpretation of Spinoza's approach which does not entail commitment to an ontological reduction of subjective experience to mere intelligibility. In contrast to a long-standing tradition of Hegelian reading of Spinoza's Ethics, it thus defends the notion that the experience of finite subjects is fully real.
Author: Wojciech Samek
Publisher: Springer Nature
ISBN: 3030289540
Category : Computers
Languages : en
Pages : 435
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Book Description
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Author: John Brockman
Publisher: Harper Collins
ISBN: 0062230182
Category : Science
Languages : en
Pages : 429
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Book Description
Drawn from the cutting-edge frontiers of science, This Explains Everything will revolutionize your understanding of the world. What is your favorite deep, elegant, or beautiful explanation? This is the question John Brockman, publisher of Edge.org ("The world's smartest website"—The Guardian), posed to the world's most influential minds. Flowing from the horizons of physics, economics, psychology, neuroscience, and more, This Explains Everything presents 150 of the most surprising and brilliant theories of the way of our minds, societies, and universe work. Jared Diamond on biological electricity • Nassim Nicholas Taleb on positive stress • Steven Pinker on the deep genetic roots of human conflict • Richard Dawkins on pattern recognition • Nobel Prize-winning physicist Frank Wilczek on simplicity • Lisa Randall on the Higgs mechanism • BRIAN Eno on the limits of intuition • Richard Thaler on the power of commitment • V. S. Ramachandran on the "neural code" of consciousness • Nobel Prize winner ERIC KANDEL on the power of psychotherapy • Mihaly Csikszentmihalyi on "Lord Acton's Dictum" • Lawrence M. Krauss on the unification of electricity and magnetism • plus contributions by Martin J. Rees • Kevin Kelly • Clay Shirky • Daniel C. Dennett • Sherry Turkle • Philip Zimbardo • Lee Smolin • Rebecca Newberger Goldstein • Seth Lloyd • Stewart Brand • George Dyson • Matt Ridley
Author: Denis Rothman
Publisher: Packt Publishing Ltd
ISBN: 1800202768
Category : Computers
Languages : en
Pages : 455
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Book Description
Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces. Key FeaturesLearn explainable AI tools and techniques to process trustworthy AI resultsUnderstand how to detect, handle, and avoid common issues with AI ethics and biasIntegrate fair AI into popular apps and reporting tools to deliver business value using Python and associated toolsBook Description Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex. Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications. You will build XAI solutions in Python, TensorFlow 2, Google Cloud’s XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle. You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces. By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI. What you will learnPlan for XAI through the different stages of the machine learning life cycleEstimate the strengths and weaknesses of popular open-source XAI applicationsExamine how to detect and handle bias issues in machine learning dataReview ethics considerations and tools to address common problems in machine learning dataShare XAI design and visualization best practicesIntegrate explainable AI results using Python modelsUse XAI toolkits for Python in machine learning life cycles to solve business problemsWho this book is for This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book. Some of the potential readers of this book include: Professionals who already use Python for as data science, machine learning, research, and analysisData analysts and data scientists who want an introduction into explainable AI tools and techniquesAI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1892
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Book Description
Author: Jeong-eun Rhee
Publisher: Routledge
ISBN: 1000210286
Category : Social Science
Languages : en
Pages : 186
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Book Description
Honourable Mention, ICQI 2022 Outstanding Qualitative Book Award Honorable Mention, AERA Qualitative SIG for 2023 Outstanding Book Award Category In Decolonial Feminist Research: Haunting, Rememory and Mothers, Jeong-eun Rhee embarks on a deeply personal inquiry that is demanded by her dead mother’s haunting rememory and pursues what has become her work/life question: What methodologies are available to notice and study a reality that exceeds and defies modern scientific ontology and intelligibility? Rhee is a Korean migrant American educational qualitative researcher, who learns anew how to notice, feel, research, and write her mother’s rememory across time, geography, languages, and ways of knowing and being. She draws on Toni Morrison's concept of "rememory" and Theresa Hak Kyung Cha's "fragmented-multi self." Using various genres such as poems, dialogues, fictions, and theories, Rhee documents a multi-layered process of conceptualizing, researching, and writing her (m/others’) transnational rememory as a collective knowledge project of intergenerational decolonial feminists of color. In doing so, the book addresses the following questions: How can researchers write in the name and practice of research what can never be known or narrated with logic and reason? What methodologies can be used to work through and with both personal and collective losses, wounds, and connections that have become y/our questions? Rhee shows how to feel connectivity and fragmentation as/of self not as binary but as constitutive through rememory and invites readers to explore possibilities of decolonial feminist research as an affective bridge to imagine, rememory, and engender healing knowledge. Embodied onto-epistemologies of women of color haunt and thus demand researchers to contest and cross the boundary of questions, topics, methodologies, and academic disciplinary knowledge that are counted as relevant, appropriate, and legitimate within a dominant western science regime. This book is for qualitative researchers and feminism scholars who are pursuing these kinds of boundary-crossing "personal" inquiries.
Author: Thomas P. Flint
Publisher: OUP Oxford
ISBN: 0191615773
Category : Religion
Languages : en
Pages : 1104
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Book Description
Philosophical theology is aimed primarily at theoretical understanding of the nature and attributes of God and of God's relationship to the world and its inhabitants. During the twentieth century, much of the philosophical community (both in the Anglo-American analytic tradition and in Continental circles) had grave doubts about our ability to attain any such understanding. In recent years the analytic tradition in particular has moved beyond the biases that placed obstacles in the way of the pursuing questions located on the interface of philosophy and religion. The result has been a rebirth of serious, widely-discussed work in philosophical theology. The Oxford Handbook of Philosophical Theology attempts both to familiarize readers with the directions in which this scholarship has gone and to pursue the discussion into hitherto under-examined areas. Written by some of the leading scholars in the field, the essays in the Handbook are grouped in five sections. In the first ("Theological Prolegomena"), articles focus on the authority of scripture and tradition, on the nature and mechanisms of divine revelation, on the relation between religion and science, and on theology and mystery. The next section ("Divine Attributes") focuses on philosophical problems connected with the central divine attributes: aseity, omnipotence, omniscience, and the like. In Section Three ("God and Creation"), essays explore theories of divine action and divine providence, questions about petitionary prayer, problems about divine authority and God's relationship to morality and moral standards, and various formulations of and responses to the problem of evil. The fourth section ("Topics in Christian Philosophy") examines philosophical problems that arise in connection with such central Christian doctrines as the trinity, the incarnation, the atonement, original sin, resurrection, and the Eucharist. Finally, Section Five ("Non-Christian Philosophical Theology") introduces readers to work that is being done in Jewish, Islamic, and Chinese philosophical theology.
Author: Luca Longo
Publisher: Springer Nature
ISBN: 3031637976
Category :
Languages : en
Pages : 529
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Book Description
