Feedback Loops
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| Author | : Bernie Thompson |
| Publisher | : |
| Total Pages | : |
| Release | : 2016-12-26 |
| Genre | : |
| ISBN | : 9780998121116 |
Online markets such as Amazon have completely changed retailing, and even small companies can use these e-commerce platforms to compete with the biggest and best in the world. But success requires new ways of thinking, outstanding customer service, and unprecedented speed. Bernie Thompson's small electronics company became one of the first private-label brands to successfully capitalize on Amazon fulfillment, and even Amazon has touted him as a success. Now he shares how you can find similar success. Going well beyond the basics, which are widely available elsewhere, this book is for more sophisticated private-label sellers and manufacturers who recognize that there are no tricks or schemes, only winning strategies, best practices, and tools for overcoming the inertia of discoverability to get the sales flywheel moving. Specific tips and advice include where to focus your energy, how to make data actionable, and how to close the feedback loops that drive successful e-commerce.
| Author | : Andrew Wells Garnar |
| Publisher | : Rowman & Littlefield |
| Total Pages | : 231 |
| Release | : 2020-11-03 |
| Genre | : Philosophy |
| ISBN | : 1498597637 |
In a world of information technologies, genetic engineering, controversies about established science, and the mysteries of quantum physics, it is at once seemingly impossible and absolutely vital to find ways to make sense of how science, technology, and society connect. In Feedback Loops: Pragmatism about Science & Technology, editors Andrew Wells Garnar and Ashley Shew bring together original writing from philosophers and science and technology studies scholars to provide novel ways of rethinking the relationships among science, technology, education, and society. Through critiquing and exploring the work of philosopher of science and technology Joseph C. Pitt, the authors featured in this volume investigate the complexities of contemporary technoscience, writing on topics ranging from super-computing to pedagogy, engineering to biotechnology patents, and scientific instruments to disability studies. Taken together, these chapters develop an argument about the necessity of using pragmatism to foster a more productive relationship among science, technology and society.
| Author | : Daniel B. Forger |
| Publisher | : MIT Press |
| Total Pages | : 369 |
| Release | : 2024-08-06 |
| Genre | : Science |
| ISBN | : 0262552817 |
An introduction to the mathematical, computational, and analytical techniques used for modeling biological rhythms, presenting tools from many disciplines and example applications. All areas of biology and medicine contain rhythms, and these behaviors are best understood through mathematical tools and techniques. This book offers a survey of mathematical, computational, and analytical techniques used for modeling biological rhythms, gathering these methods for the first time in one volume. Drawing on material from such disciplines as mathematical biology, nonlinear dynamics, physics, statistics, and engineering, it presents practical advice and techniques for studying biological rhythms, with a common language. The chapters proceed with increasing mathematical abstraction. Part I, on models, highlights the implicit assumptions and common pitfalls of modeling, and is accessible to readers with basic knowledge of differential equations and linear algebra. Part II, on behaviors, focuses on simpler models, describing common properties of biological rhythms that range from the firing properties of squid giant axon to human circadian rhythms. Part III, on mathematical techniques, guides readers who have specific models or goals in mind. Sections on “frontiers” present the latest research; “theory” sections present interesting mathematical results using more accessible approaches than can be found elsewhere. Each chapter offers exercises. Commented MATLAB code is provided to help readers get practical experience. The book, by an expert in the field, can be used as a textbook for undergraduate courses in mathematical biology or graduate courses in modeling biological rhythms and as a reference for researchers.
| Author | : Thomas Goetz |
| Publisher | : Rodale |
| Total Pages | : 339 |
| Release | : 2011-03-01 |
| Genre | : Medical |
| ISBN | : 1605291684 |
For all the talk about personalized medicine, our health care system remains a top-down, doctor-driven system where individuals are too often bit players in their own health decisions. In The Decision Tree, Thomas Goetz proposes a new strategy for thinking about health, one that applies cutting-edge technology to put us at the center of the equation and explains how the new frontier of health care can impact each of our lives.
| Author | : Rene Thomas |
| Publisher | : CRC Press |
| Total Pages | : 328 |
| Release | : 1990-09-25 |
| Genre | : Science |
| ISBN | : 9780849367663 |
Clearly explaining the logical analysis of biological control phenomena, Biological Feedback answers questions concerning everything from regulation to logic. This rare monograph presents a formal methodology for analyzing the dynamic behavior of complex systems. The easy-to-read text describes a simple logical formalization called "kinetic logic". The reader discovers how this method is used to predict all possible patterns of behavior of which a system is capable. It includes specific conditions required for each pattern. It also explains how to modify an incorrect model in order to account for the observed behavior. The authors give special attention to the two basic types of simple feedback loops: positive and negative. This volume is filled with easy-to-use tables, providing quick reference throughout the book. The subject matter is of great interest to everyone working in molecular genetics and developmental biology. Researchers, immunologists, physical chemists, physicists, electrical engineers, economists, and mathematicians will find this unique text to be an informative, indispensable resource.
| Author | : Kim Malone Scott |
| Publisher | : Macmillan |
| Total Pages | : 375 |
| Release | : 2017-03-28 |
| Genre | : Business & Economics |
| ISBN | : 1760553026 |
Radical Candor is the sweet spot between managers who are obnoxiously aggressive on the one side and ruinously empathetic on the other. It is about providing guidance, which involves a mix of praise as well as criticism, delivered to produce better results and help employees develop their skills and boundaries of success. Great bosses have a strong relationship with their employees, and Kim Scott Malone has identified three simple principles for building better relationships with your employees: make it personal, get stuff done, and understand why it matters. Radical Candor offers a guide to those bewildered or exhausted by management, written for bosses and those who manage bosses. Drawing on years of first-hand experience, and distilled clearly to give actionable lessons to the reader, Radical Candor shows how to be successful while retaining your integrity and humanity. Radical Candor is the perfect handbook for those who are looking to find meaning in their job and create an environment where people both love their work, their colleagues and are motivated to strive to ever greater success.
| Author | : Kenneth J. Szalai |
| Publisher | : |
| Total Pages | : 52 |
| Release | : 1967 |
| Genre | : Feedback control systems |
| ISBN | : |
| Author | : Hannes Hapke |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 398 |
| Release | : 2020-07-13 |
| Genre | : Computers |
| ISBN | : 1492053147 |
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques
| Author | : Karl Johan Åström |
| Publisher | : Princeton University Press |
| Total Pages | : |
| Release | : 2021-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 069121347X |
The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
| Author | : Mark Treveil |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 171 |
| Release | : 2020-11-30 |
| Genre | : Computers |
| ISBN | : 1098116429 |
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized
