Products related to Experimentation:
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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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Digital Scenography : 30 Years of Experimentation and Innovation in Performance and Interactive Media
Shortlisted for the PQ Best Publication Award in Performance Design & Scenography 2023 This book uses digital media theory to explore contemporary understandings of expanded scenography as spatial practice.It surveys and analyses a selection of ground-breaking, experimental digital media performances that comprise a genealogy spanning the last 30 years, in order to show how the arrival of digital technologies has profoundly transformed performance practice.Performances are selected based on their ability to elicit the unique specificities of digital media in new and original ways, thereby exposing both the richness and shortcomings of digital culture. O'Dwyer argues that contemporary scenography is largely propelled by and dependent on digital technologies and represents a rich, fertile domain, where unbridled creativity can explore new techniques and challenge the limits of knowledge.The 30-year genealogy includes works by Troika Ranch, Stelarc, Klaus Obermaier, Chunky Move, Onion Lab and Blast Theory.In addition to applying a broad scope of performance analysis and aesthetic theory, the work includes artists’ interviews and opinions. The volume opens important aesthetic, philosophical and socio-political themes in order to highlight the impact of digital technologies on scenographic practice and the blossoming of experimental interdisciplinarity.Ultimately, the book is an exploration of how evolutionary leaps in technology contribute to how humans think, act, make work, engage one another, and therefore construct meaning and identity.
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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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How can one use experimentation correctly?
One can use experimentation correctly by first clearly defining the research question or hypothesis they want to test. Next, they should design an experiment that allows for the manipulation of variables and control of potential confounding factors. It is important to collect and analyze data accurately, and draw conclusions based on the results obtained. Finally, one should communicate their findings transparently and consider the implications of their research.
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What is the research question regarding animal experimentation?
The research question regarding animal experimentation is typically focused on understanding the potential benefits and ethical considerations of using animals in scientific research. Researchers may investigate the effectiveness of animal models in studying human diseases, the development of alternative methods to reduce or replace animal use, and the ethical implications of using animals in research. Additionally, the research question may also explore the impact of animal experimentation on animal welfare and the potential for translating findings from animal studies to human health outcomes.
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What is a pre-experimentation for a physics experiment?
A pre-experimentation for a physics experiment is a preliminary investigation or trial run conducted before the actual experiment. It helps in identifying potential issues, determining the feasibility of the experiment, and refining the experimental procedure. This stage allows researchers to make necessary adjustments and improvements to ensure the success and accuracy of the main experiment.
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Why are bacteria particularly suitable subjects for experimentation in biotechnology and genetics?
Bacteria are particularly suitable subjects for experimentation in biotechnology and genetics for several reasons. Firstly, they have a rapid growth rate, allowing for quick and efficient experimentation. Additionally, their simple genetic makeup and ease of genetic manipulation make them ideal for studying gene function and regulation. Furthermore, bacteria can be used to produce valuable proteins and other biotechnological products through genetic engineering, making them valuable tools for biotechnological applications. Overall, their simplicity, rapid growth, and genetic manipulability make bacteria ideal subjects for experimentation in biotechnology and genetics.
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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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Split and Splice : A Phenomenology of Experimentation
An esteemed historian of science explores the diversity of scientific experimentation. The experiment has long been seen as a test bed for theory, but in Split and Splice, Hans-Jörg Rheinberger makes the case, instead, for treating experimentation as a creative practice.His latest book provides an innovative look at the experimental protocols and connections that have made the life sciences so productive. Delving into the materiality of the experiment, the first part of the book assesses traces, models, grafting, and note-taking—the conditions that give experiments structure and make discovery possible.The second section widens its focus from micro-level laboratory processes to the temporal, spatial, and narrative links between experimental systems.Rheinberger narrates with accessible examples, most of which are drawn from molecular biology, including from the author’s laboratory notebooks from his years researching ribosomes. A critical hit when it was released in Germany, Split and Splice describes a method that involves irregular results and hit-or-miss connections—not analysis, not synthesis, but the splitting and splicing that form a scientific experiment.Building on Rheinberger’s earlier writing about science and epistemology, this book is a major achievement by one of today’s most influential theorists of scientific practice.
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Vibration Engineering : Modeling, Simulation, Experimentation, and Applications
Vibration Engineering presents recent developments in the field of engineering, encompassing industrial norms, applications within the finite element method, infrastructure safety assessment, and active vibration control strategies.It offers a study in seismic vibration control and analysis for building structures and liquid storage tanks. Spanning across the multiple domains of vibration engineering, the book highlights machinery diagnostics, modal analysis, energy harvesting, balancing, vibration isolation, and human-vibration interaction.It discusses experimental fault identification in journal bearings using vibration-based methods.This book also considers advances in vibration-based structural health monitoring of civil infrastructures. This book will be a useful reference for industry professionals and engineers facing challenges while dealing with the vibrations in the fields of mechanical, aerospace, structural, and civil engineering.
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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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What does innovation mean exactly?
Innovation refers to the process of creating new ideas, products, or methods that bring about positive change or improvement. It involves thinking outside the box, taking risks, and challenging the status quo to develop something that is novel and valuable. Innovation can occur in various fields, such as technology, business, science, and the arts, and it often leads to advancements that benefit society as a whole. Overall, innovation is about pushing boundaries and finding creative solutions to address existing challenges or meet new needs.
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