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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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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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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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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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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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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Experimentation Works : The Surprising Power of Business Experiments
Don't fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong.They discover that intuition, experience, and big data alone don't work.What does? Running disciplined business experiments. And what if companies roll out new products or introduce new customer experiences without running these experiments?They fly blind. That's what Harvard Business School professor Stefan Thomke shows in this rigorously researched and eye-opening book.It guides you through best practices in business experimentation, illustrates how these practices work at leading companies, and answers some fundamental questions: What makes a good experiment?How do you test in online and brick-and-mortar businesses?In B2B and B2C? How do you build an experimentation culture? Also, best practice means running many experiments. Indeed, some hugely successful companies, such as Amazon, Booking.com, and Microsoft, run tens of thousands of controlled experiments annually, engaging millions of users.Thomke shows us how these and many other organizations prove that experimentation provides significant competitive advantage. How can managers create this capability at their own companies?Essential is developing an experimentation organization that prizes the science of testing and puts the discipline of experimentation at the center of its innovation process.While it once took companies years to develop the tools for such large-scale experiments, advances in technology have put these tools at the fingertips of almost any business professional.By combining the power of software and the rigor of controlled experiments, today's managers can make better decisions, create magical customer experiences, and generate big financial returns. Experimentation Works is your guidebook to a truly new way of thinking and innovating.
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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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Sustainability, Technology, and Finance : Rethinking How Markets Integrate ESG
This book explores the swiftly emerging nexus between sustainability, finance, and technology. Leading practitioners and academic thought leaders reflect on the ways in which technology and digitalization shape how sustainable finance professionals address environmental, social, and governance (ESG) issues.Together, the contributors identify three spheres in which technology shapes how investors make sense of such issues:ESG and technology: finance professionals need to know about how technological innovations, such as chemical recycling for plastics, in the real economy shape firms’ ESG performance; ESG through technology: technological developments, such as AI and blockchain, can enable finance professionals to offer more fine-grained ESG analyses; andESG as technology: the ESG agenda itself is influenced by technological developments that are not well understood by practitioners (e.g., data mining for Bitcoin creating significant emissions).Using practically relevant examples and recent insights from people working in the field, the book explores the linkages between sustainability, technology, and finance in different contexts and shows how practitioners can accelerate needed change processes.This book primarily addresses practitioners in companies and investment firms as well as students enrolled in executive education and MBA programs.
Price: 37.99 £ | Shipping*: 0.00 £
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What is sustainability in education?
Sustainability in education refers to the integration of environmental, social, and economic principles into the learning experience. It involves teaching students about the importance of preserving natural resources, promoting social equity, and fostering economic prosperity for future generations. Sustainability in education also encompasses the development of critical thinking skills and a sense of responsibility towards the environment and society. It aims to empower students to become informed and active global citizens who can contribute to creating a more sustainable world.
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Art therapy or art education?
Art therapy and art education serve different purposes and cater to different needs. Art therapy is a form of therapy that uses the creative process of making art to improve a person's physical, mental, and emotional well-being. It is typically used as a form of treatment for individuals dealing with trauma, stress, or mental health issues. On the other hand, art education focuses on teaching artistic skills, techniques, and art history to individuals who are interested in developing their artistic abilities. Both are valuable in their own right, with art therapy providing therapeutic benefits and art education fostering creativity and skill development. Ultimately, the choice between art therapy and art education depends on the individual's goals and needs.
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How can one finance their education?
There are several ways to finance education, including scholarships, grants, student loans, work-study programs, and personal savings. Scholarships and grants are typically awarded based on academic achievement, financial need, or specific criteria set by the organization providing the funding. Student loans can be obtained from the government or private lenders, but it's important to carefully consider the terms and repayment options before taking out a loan. Work-study programs allow students to work part-time while attending school to help cover expenses. Additionally, saving money in advance or setting up a payment plan with the educational institution can also help finance education.
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How can one finance a paid education?
One can finance a paid education through various means such as scholarships, grants, student loans, work-study programs, and personal savings. Scholarships and grants are forms of financial aid that do not need to be repaid, while student loans need to be repaid with interest. Work-study programs allow students to work part-time while studying to help cover their educational expenses. Personal savings can also be used to finance a paid education by setting aside money specifically for tuition, fees, and other related costs.
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