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Experimentation for Engineers
Optimise the performance of your systems with practical experiments used by engineers in the world's most competitive industries.Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters.You will start with a deep dive into methods like A/B testing and then graduate to advanced techniques used to measure performance in industries such as finance and social media. You will learn how to: Design, run, and analyse an A/B testBreak the "feedback loops" caused by periodic retraining of ML modelsIncrease experimentation rate with multi-armed banditsTune multiple parameters experimentally with Bayesian optimisationClearly define business metrics used for decision-makingIdentify and avoid the common pitfalls of experimentation By the time you're done, you will be able to seamlessly deploy experiments in production, whilst avoiding common pitfalls. About the technology Does my software really work?Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these.This unique book reveals sophisticated experimentation practices developed and proven in the world's most competitive industries and will help you enhance machine learning systems, software applications, and quantitative trading solutions.
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Methodologies of Affective Experimentation
We live in an era of experimentation – both if we look at the broader social world of politics, media and art and at the narrower context of academic knowledge production.This collection consists of 14 chapters by leading scholars in affect studies.They explore the affective dimensions of experimental practices related to, for example, activism, the COVID-19 pandemic, populism, sustainability, patient communities, music streaming, Jamaican dancehall, gangs, leadership, tourism and minority youth cultures.Experiments are understood as intentionally crafted milieus aimed at (re)presenting unnoticed aspects of the world, as non-linear processes with unpredictable outcomes, and as ways of giving the future a provisional form.The collection responds to a pressing need to understand the intersection between affect, experimentation and sociocultural change by offering empirical strategies to explore how, and with what consequences, experimentation is affective.
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Quasi-Experimentation : A Guide to Design and Analysis
Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings.Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest–posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs.He details their relative strengths and weaknesses and offers practical advice about their use.Comparing quasi-experiments to randomized experiments, Reichardt discusses when and why the former might be a better choice than the latter in the face of the contingencies that are likely to arise in practice.Modern methods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment.Throughout, mathematical equations are translated into words to enhance accessibility.Adding to its discussion of prototypical quasi-experiments, the book also provides a complete typology of quasi-experimental design options to help the reader craft the best research design to fit the circumstances of a given study.
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Magocracy: Experimentation Steam CD Key
Enter a world where mages fly and fight in the sky, unleashing powerful spells and devastating the landscape. Customize your mage with dozens of attributes to suit your playstyle and strategy. Whether you prefer speed, size, or sheer firepower, you can fine-tune every aspect of your character and become the ultimate mage. Every change you make affects the power level of your mages, forcing you to spend your points wisely. Arcade/Tower Mode: Start from the bottom and rise to the top of the tow...
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Practical Vision Science : Learning Through Experimentation
This workbook provides a collection of experiments and observations that use physical materials (rather than digital displays or resources) to reveal fundamental properties of the human visual system. Practical Vision Science centers discovery, observation, and critical thinking.By observing and manipulating visual phenomena, readers gain insights regarding visual processing from the outside world into high-level areas of the visual cortex.The text covers geometric optics, image formation, early stages of visual processing, and inferences regarding brightness, color, depth, motion, and form.The goal is to highlight the critical role that observation of one’s own sensory experiences plays in vision science, while introducing phenomena that provide clues about the computations and constraints that shape our experience of the visual world.Each exercise can be completed with everyday materials, and the text includes discussion of key phenomena readers should be able to observe and the implications of these effects for underlying mechanisms that support visual experience in each case. Practical Vision Science is an essential text for upper undergraduate and postgraduate students of Sensation and Perception, providing the opportunity to learn by doing things rather than reading facts about the visual system on the page.
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Methods and Applications of Autonomous Experimentation
Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities.Whereas previously, human experimenters were burdened with the laborious task of overseeing each measurement, recent advances in mathematics, machine learning and algorithms have alleviated this burden by enabling automated and intelligent decision-making, minimizing the need for human interference.Illustrating theoretical foundations and incorporating practitioners’ first-hand experiences, this book is a practical guide to successful Autonomous Experimentation. Despite the field’s growing potential, there exists numerous myths and misconceptions surrounding Autonomous Experimentation.Combining insights from theorists, machine-learning engineers and applied scientists, this book aims to lay the foundation for future research and widespread adoption within the scientific community.This book is particularly useful for members of the scientific community looking to improve their research methods but also contains additional insights for students and industry professionals interested in the future of the field.
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Liu Kuo-sung: Experimentation as Method ???:????
Liu Kuo-sung: Experimentation as Method ???:????
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