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.
Quantum Hughes' life is stuck on repeat. While trapped in The LOOP, he struggles to free himself from a glitch that forces him to re-live the same day over and over.
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.
The Feedback Loop describes a process by which you design formative assessments of what you do and collect a variety of forms of data. Then, the book shows you ways to actually use the information to improve your teaching. Written by veteran classroom teachers, the guide offers practical ideas for middle and high school teachers, regardless of discipline. The first chapters introduce the Feedback Loop framework; highlight the four elements of goals, tools, data, and inferences; and explore how to close the loop by connecting inferences and goals through feedback. Later chapters show how to use the full loop to inform your instruction. The book supports the Next Generation Science Standards and includes classroom vignettes that ground the ideas in real-life situations.
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.
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
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.
Leverage the power of Ansible 2 and related tools and scale DevOps processes About This Book Learn how to use Ansible playbooks along with YAML and JINJA to create efficient DevOps solutions Use Ansible to provision and automate Docker containers and images Learn the fundamentals of Continuous Integration and Continuous Delivery and how to leverage Ansible to implement these modern DevOps Learn the fundamentals of creating custom Ansible modules Learn the fundamentals of Ansible Galaxy Follow along step-by-step as we teach you to scale Ansible for your DevOps processes Who This Book Is For If you are a DevOps engineer, administrator, or developer and want to implement the DevOps environment in your organization using Ansible, then this book is for you. What You Will Learn Get to the grips with the fundamentals of Ansible 2.2 and how you can benefit from leveraging Ansible for DevOps. Adapt the DevOps process and learn how Ansible and other tools can be used to automate it. Start automating Continuous Integration and Continuous Delivery tasks using Ansible Maximize the advantages of tools such as Docker, Jenkins, JIRA, and many more to implement the DevOps culture. Integrate DevOps tools with Ansible Extend Ansible using Python and create custom modules that integrate with unique specific technology stacks Connect and control the states of various third-party applications such as GIT, SVN, Artifactory, Nexus, Jira, Hipchat, Slack, Nginx, and others In Detail Thinking about adapting the DevOps culture for your organization using a very simple, yet powerful automation tool, Ansible 2? Then this book is for you! In this book, you will start with the role of Ansible in the DevOps module, which covers fundamental DevOps practices and how Ansible is leveraged by DevOps organizations to implement consistent and simplified configuration management and deployment. You will then move on to the next module, Ansible with DevOps, where you will understand Ansible fundamentals and how Ansible Playbooks can be used for simple configuration management and deployment tasks. After simpler tasks, you will move on to the third module, Ansible Syntax and Playbook Development, where you will learn advanced configuration management implementations, and use Ansible Vault to secure top-secret information in your organization. In this module, you will also learn about popular DevOps tools and the support that Ansible provides for them (MYSQL, NGINX, APACHE and so on). The last module, Scaling Ansible for the enterprise, is where you will integrate Ansible with CI and CD solutions and provision Docker containers using Ansible. By the end of the book you will have learned to use Ansible to leverage your DevOps tasks. Style and approach A step-by-step guide to automating all DevOps stages with ease using Ansible
The principal reason for using feedback is to reduce the effect of uncertainties in the description of a system which is to be controlled. H[infinity] loop-shaping is emerging as a powerful but straightforward method for designing robust feedback controllers for complex systems. However, in order to use this, or other modern design techniques, it is first necessary to generate an accurate model of the system (thus appearing to remove the reason for needing feedback in the first place). The v-gap metric is an attempt to resolve this paradox - by indicating in what sense a model should be accurate if it is to be useful for feedback design. This book develops in detail the H[infinity] loop-shaping design method, the v-gap metric and the relationship between the two, showing how they can be used together for successful feedback design.
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.
