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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.
A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become well-versed with interpretability techniques to build fairer, safer, and more reliable models Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models Book DescriptionDo you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpr...
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
Microformats are HTML-based design patterns that help add meaning (semantics) to Web content. They are widely used by some of the most important sites on the Web including Google, Yahoo!, Facebook, and Twitter. The people behind these sites - content authors, designers and developers - understand the power and flexibility of microformats and are taking advantage of their capabilities. Any site can benefit from more effective content and improved user experience by employing microformats correctly. That's where this book excels. In Microformats Made Simple, author Emily Lewis demystifies these simple open data formats that are designed for people first, machines second. With practical, easy-to-understand markup examples for a wide range of web content, she teaches readers everything they need to know to start adding semantic richness to their sites, which can improve SEO and standards compliance, and supports extensible data publishing. Emily also discusses historical challenges in working with microformats, including accessibility, and how the new value class pattern addresses these challenges.
A practical guide for those using (or planning to use) Action Learning. The book covers both the underlying principles behind the approach and provides a series of tools which can aid the organization to successfully adopt it. The contents include a comparison of Action Learning and traditional learning along with tools and techniques for the client/sponsor role, programme preparation, programme start-up, ground rules, how to select appropriate problems and projects, the composition/meetings/process of AL sets, the role of the set advisor, methods of supporting and evaluating the process.
This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.
This volume of Progress in Brain Research provides a synthetic source of information about state-of-the-art research that has important implications for the evolution of the brain and cognition in primates, including humans. This topic requires input from a variety of fields that are developing at an unprecedented pace: genetics, developmental neurobiology, comparative and functional neuroanatomy (at gross and microanatomical levels), quantitative neurobiology related to scaling factors that constrain brain organization and evolution, primate palaeontology (including paleoneurology), paleo-anthropology, comparative psychology, and behavioural evolutionary biology. Written by internationally-...
Fiction. SOFT SPLIT is a dark tale about love, betrayal, dreaming, sex, airports, and office tension. Szilvia Molnar is a fearless fictional deviant. "With its red parrots, illicit sexual encounters, and a former lover named Blondie, Szilvia Molnar's SOFT SPLIT is a welcome contribution to the library of dreams, wet and not."--Sjón, author of The Blue Fox "If Georges Bataille had found a feral child and left her with Miranda July and Emmanuel Carrère to raise, the little girl may have grown up to sound exactly like Szilvia Molnar, whose Soft Split has the mannered depravity and whimsical uber-feminist pervdom we've come to expect from these giants of the genre."--Jerry Stahl, author of Permanent Midnight
The Rise of Common Political Order brings together leading research focusing on the conditions for the formation of common political order in Europe. The book aims to define common political order in conceptual terms, to study instances of order formation at different levels of governance and ultimately to comprehend how they profoundly challenge inherent political orders.
A Nazareth Manifesto is an eloquent and impassioned ecumenical proposal for re-envisioning Christianity’s approach to social engagement away from working “for” the people to being “with” them. Questions the effectiveness of the current trend of intervention as a means of fixing the problems of people in distressed and disadvantaged circumstances Argues that Jesus spent 90% of his life simply being among the people of Nazareth, sharing their hopes and struggles, therefore Christians should place a similar emphasis on being alongside people in need rather than hastening to impose solutions Written by a respected priest and broadcaster and renowned Christian ethicist and preacher Supported by historical, contemporary, exegetical and anecdotal illustrations