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Author: Pamela Fuller Publisher: Simon and Schuster ISBN: 1982144327 Category : Business & Economics Languages : en Pages : 304
Book Description
A “profound” (Cynt Marshall, CEO of the Dallas Mavericks), timely, must-have guide to understanding and overcoming bias in the workplace from the experts at FranklinCovey. Unconscious bias affects everyone. It can look like the disappointment of an HR professional when a candidate for a new position asks about maternity leave. It can look like preferring the application of an Ivy League graduate over one from a state school. It can look like assuming a man is more entitled to speak in a meeting than his female junior colleague. Ideal for every manager who wants to understand and move past their own preconceived ideas, The Leader’s Guide to Unconscious Bias is a “must-read” (Sylvia Acevedo, CEO, rocket scientist, STEM leader, and author) that explains that bias is the result of mental shortcuts, our likes and dislikes, and is a natural part of the human condition. And what we assume about each other and how we interact with one another has vast effects on our organizational success—especially in the workplace. This book teaches you how to overcome unconscious bias and provides more than thirty unique tools, such as a prep worksheet and a list of ways to reframe your unconscious thoughts. According to the experts at FranklinCovey, your workplace can achieve its highest performance rate once you start to overcome your biases and allow your employees to be whole people. By recognizing bias, emphasizing empathy and curiosity, and making true understanding a priority in the workplace, we can unlock the potential of every person we encounter.
Author: Pamela Fuller Publisher: Simon and Schuster ISBN: 1982144327 Category : Business & Economics Languages : en Pages : 304
Book Description
A “profound” (Cynt Marshall, CEO of the Dallas Mavericks), timely, must-have guide to understanding and overcoming bias in the workplace from the experts at FranklinCovey. Unconscious bias affects everyone. It can look like the disappointment of an HR professional when a candidate for a new position asks about maternity leave. It can look like preferring the application of an Ivy League graduate over one from a state school. It can look like assuming a man is more entitled to speak in a meeting than his female junior colleague. Ideal for every manager who wants to understand and move past their own preconceived ideas, The Leader’s Guide to Unconscious Bias is a “must-read” (Sylvia Acevedo, CEO, rocket scientist, STEM leader, and author) that explains that bias is the result of mental shortcuts, our likes and dislikes, and is a natural part of the human condition. And what we assume about each other and how we interact with one another has vast effects on our organizational success—especially in the workplace. This book teaches you how to overcome unconscious bias and provides more than thirty unique tools, such as a prep worksheet and a list of ways to reframe your unconscious thoughts. According to the experts at FranklinCovey, your workplace can achieve its highest performance rate once you start to overcome your biases and allow your employees to be whole people. By recognizing bias, emphasizing empathy and curiosity, and making true understanding a priority in the workplace, we can unlock the potential of every person we encounter.
Author: Tracey A. Benson Publisher: Harvard Education Press ISBN: 1682533719 Category : Education Languages : en Pages : 247
Book Description
In Unconscious Bias in Schools, two seasoned educators describe the phenomenon of unconscious racial bias and how it negatively affects the work of educators and students in schools. “Regardless of the amount of effort, time, and resources education leaders put into improving the academic achievement of students of color,” the authors write, “if unconscious racial bias is overlooked, improvement efforts may never achieve their highest potential.” In order to address this bias, the authors argue, educators must first be aware of the racialized context in which we live. Through personal anecdotes and real-life scenarios, Unconscious Bias in Schools provides education leaders with an essential roadmap for addressing these issues directly. The authors draw on the literature on change management, leadership, critical race theory, and racial identity development, as well as the growing research on unconscious bias in a variety of fields, to provide guidance for creating the conditions necessary to do this work—awareness, trust, and a “learner’s stance.” Benson and Fiarman also outline specific steps toward normalizing conversations about race; reducing the influence of bias on decision-making; building empathic relationships; and developing a system of accountability. All too often, conversations about race become mired in questions of attitude or intention–“But I’m not a racist!” This book shows how information about unconscious bias can help shift conversations among educators to a more productive, collegial approach that has the potential to disrupt the patterns of perception that perpetuate racism and institutional injustice. Tracey A. Benson is an assistant professor of educational leadership at the University of North Carolina at Charlotte. Sarah E. Fiarman is the director of leadership development for EL Education, and a former public school teacher, principal, and lecturer at Harvard Graduate School of Education.
Author: Max Kuhn Publisher: CRC Press ISBN: 1351609467 Category : Business & Economics Languages : en Pages : 266
Book Description
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
Author: David S. Moore Publisher: Macmillan ISBN: 9780716786368 Category : Mathematics Languages : en Pages : 596
Book Description
In the sixth edition of his landmark text, David Moore emphasizes the concepts and applications of statistics from a wide range of fields - encouraging students to see the meaning behind statistical results. Moore's emphasis on ideas and data with minimal computation is acknowledged as the most effective way to teach non-mathematical students.
Author: Dulani Meedeniya Publisher: CRC Press ISBN: 100092405X Category : Computers Languages : en Pages : 199
Book Description
This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of the DL models based on artificial neural networks is influenced by the structure and operation of the brain. This book presents a comprehensive resource for those who seek a solid grasp of the techniques in DL. Key features: Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applications Explains the concepts and terminology in problem-solving with deep learning Explores the theoretical basis for major algorithms and approaches in deep learning Discusses the enhancement techniques of deep learning models Identifies the performance evaluation techniques for deep learning models Accordingly, the book covers the entire process flow of deep learning by providing awareness of each of the widely used models. This book can be used as a beginners’ guide where the user can understand the associated concepts and techniques. This book will be a useful resource for undergraduate and postgraduate students, engineers, and researchers, who are starting to learn the subject of deep learning.
Author: Daren S. Starnes Publisher: Macmillan ISBN: 142924559X Category : Mathematics Languages : en Pages : 959
Book Description
View a Panopto recording of textbook author Daren Starnes detailing ten reasons the new fourth edition of The Practice of Statistics is the right choice for the AP* Statistics course. Watch instructor video reviews here. Available for your Fall 2010 Course! Request Sample Chapter 3 here. The most thorough and exciting revision to date, The Practice of Statistics 4e is a text that fits all AP* Statistics classrooms. Authors Starnes, Yates and Moore drew upon the guidance of some of the most notable names in AP* and their students to create a text that fits today’s classroom. The new edition comes complete with new pedagogical changes, including built-in AP* testing, four-step examples, section summaries, “Check Your Understanding” boxes and more. The Practice of Statistics long stands as the only high school statistics textbook that directly reflects the College Board course description for AP* Statistics. Combining the data analysis approach with the power of technology, innovative pedagogy, and a number of new features, the fourth edition will provide you and your students with the most effective text for learning statistics and succeeding on the AP* Exam.
Author: Paul Seidel Publisher: John Wiley & Sons ISBN: 3527670661 Category : Technology & Engineering Languages : en Pages : 1336
Book Description
This wide-ranging presentation of applied superconductivity, from fundamentals and materials right up to the details of many applications, is an essential reference for physicists and engineers in academic research as well as in industry. Readers looking for a comprehensive overview on basic effects related to superconductivity and superconducting materials will expand their knowledge and understanding of both low and high Tc superconductors with respect to their application. Technology, preparation and characterization are covered for bulk, single crystals, thins fi lms as well as electronic devices, wires and tapes. The main benefit of this work lies in its broad coverage of significant applications in magnets, power engineering, electronics, sensors and quantum metrology. The reader will find information on superconducting magnets for diverse applications like particle physics, fusion research, medicine, and biomagnetism as well as materials processing. SQUIDs and their usage in medicine or geophysics are thoroughly covered, as are superconducting radiation and particle detectors, aspects on superconductor digital electronics, leading readers to quantum computing and new devices.
Author: Sergey Edward Lyshevski Publisher: CRC Press ISBN: 1420008145 Category : Technology & Engineering Languages : en Pages : 912
Book Description
There are fundamental and technological limits of conventional microfabrication and microelectronics. Scaling down conventional devices and attempts to develop novel topologies and architectures will soon be ineffective or unachievable at the device and system levels to ensure desired performance. Forward-looking experts continue to search for new paradigms to carry the field beyond the age of microelectronics, and molecular electronics is one of the most promising candidates. The Nano and Molecular Electronics Handbook surveys the current state of this exciting, emerging field and looks toward future developments and opportunities. Molecular and Nano Electronics Explained Explore the fundamentals of device physics, synthesis, and design of molecular processing platforms and molecular integrated circuits within three-dimensional topologies, organizations, and architectures as well as bottom-up fabrication utilizing quantum effects and unique phenomena. Technology in Progress Stay current with the latest results and practical solutions realized for nanoscale and molecular electronics as well as biomolecular electronics and memories. Learn design concepts, device-level modeling, simulation methods, and fabrication technologies used for today's applications and beyond. Reports from the Front Lines of Research Expert innovators discuss the results of cutting-edge research and provide informed and insightful commentary on where this new paradigm will lead. The Nano and Molecular Electronics Handbook ranks among the most complete and authoritative guides to the past, present, and future of this revolutionary area of theory and technology.
Author: Christian Joachim Publisher: Springer Science & Business Media ISBN: 3642281729 Category : Science Languages : en Pages : 246
Book Description
This volume documents the first International Workshop on Atomic Scale Interconnection Machines organised by the European Integrated Project AtMol in June 2011 in Singapore. The four sessions, discussed here in revised contributions by high level speakers, span the subjects of multi-probe UHV instrumentation, atomic scale nano-material nanowires characterization, atomic scale surface conductance measurements, surface atomic scale mechanical machineries. This state-of-the-art account brings academic researchers and industry engineers access to the tools they need to be at the forefront of the atomic scale technology revolution.
Author: Frank Kane Publisher: Packt Publishing Ltd ISBN: 1787280225 Category : Computers Languages : en Pages : 415
Book Description
This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.
Author: Pamela Fuller
Author: Pamela Fuller
Author: Tracey A. Benson
Author: Max Kuhn
Author: David S. Moore
Author: Dulani Meedeniya
Author: Daren S. Starnes
Author: Paul Seidel
Author: Sergey Edward Lyshevski
Author: Christian Joachim
Author: Frank Kane