Download or read book The Leader s Guide to Unconscious Bias written by Pamela Fuller and published by Simon and Schuster. This book was released on 2023-04-25 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Unconscious Bias in Schools written by Tracey A. Benson and published by Harvard Education Press. This book was released on 2020-07-22 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Feature Engineering and Selection written by Max Kuhn and published by CRC Press. This book was released on 2019-07-25 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Statistics Concepts and Controversies written by David S. Moore and published by Macmillan. This book was released on 2006 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Deep Learning written by Dulani Meedeniya and published by CRC Press. This book was released on 2023-10-16 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Practice of Statistics written by Daren S. Starnes and published by Macmillan. This book was released on 2010-12-17 with total page 959 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Applied Superconductivity written by Paul Seidel and published by John Wiley & Sons. This book was released on 2015-01-22 with total page 1336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Nano and Molecular Electronics Handbook written by Sergey Edward Lyshevski and published by CRC Press. This book was released on 2018-10-03 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Atomic Scale Interconnection Machines written by Christian Joachim and published by Springer Science & Business Media. This book was released on 2012-04-23 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Hands On Data Science and Python Machine Learning written by Frank Kane and published by Packt Publishing Ltd. This book was released on 2017-07-31 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Regularization Cookbook written by Vincent Vandenbussche and published by Packt Publishing Ltd. This book was released on 2023-07-31 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3 Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to diagnose the need for regularization in any machine learning model Regularize different ML models using a variety of techniques and methods Enhance the functionality of your models using state of the art computer vision and NLP techniques Book Description Regularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate technique to every model is a must. The Regularization Cookbook provides you with the appropriate tools and methods to handle any case, with ready-to-use working codes as well as theoretical explanations. After an introduction to regularization and methods to diagnose when to use it, you'll start implementing regularization techniques on linear models, such as linear and logistic regression, and tree-based models, such as random forest and gradient boosting. You'll then be introduced to specific regularization methods based on data, high cardinality features, and imbalanced datasets. In the last five chapters, you'll discover regularization for deep learning models. After reviewing general methods that apply to any type of neural network, you'll dive into more NLP-specific methods for RNNs and transformers, as well as using BERT or GPT-3. By the end, you'll explore regularization for computer vision, covering CNN specifics, along with the use of generative models such as stable diffusion and Dall-E. By the end of this book, you'll be armed with different regularization techniques to apply to your ML and DL models. What you will learn Diagnose overfitting and the need for regularization Regularize common linear models such as logistic regression Understand regularizing tree-based models such as XGBoos Uncover the secrets of structured data to regularize ML models Explore general techniques to regularize deep learning models Discover specific regularization techniques for NLP problems using transformers Understand the regularization in computer vision models and CNN architectures Apply cutting-edge computer vision regularization with generative models Who this book is for This book is for data scientists, machine learning engineers, and machine learning enthusiasts, looking to get hands-on knowledge to improve the performances of their models. Basic knowledge of Python is a prerequisite.

Download or read book Epigenetics in Aquaculture written by Francesc Piferrer and published by John Wiley & Sons. This book was released on 2023-06-27 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: EPIGENETICS IN AQUACULTURE This essential guide will allow you to understand how new developments in our knowledge of epigenetic mechanisms and epigenetic inheritance can be applied to improve aquaculture production and aquatic resource management and conservation. Epigenetics is the study of heritable changes in gene expression that are independent of alterations in the nucleotide sequence. It integrates genomic and environmental influences to shape the phenotype. Epigenetics is a field with particular relevance to aquaculture and aquatic organisms, since it underpins acclimatory responses to diverse and changing environments and inheritance of desired phenotypes. Epigenetics in Aquaculture provides a comprehensive introduction to epigenetics, epigenetic mechanisms, epigenetic inheritance, and research methods. It also provides the current state of the art on research and development on epigenetics in the major functions of aquatic organisms in the framework of aquaculture production. The fact that aquaculture is the fastest-growing sector of food production makes the book especially timely. Readers will also find: Detailed treatment of subjects including aquatic faunal reproduction, sex determination, growth regulation, nutritional programming, disease resistance, stress response and much more Survey of current research lacunae and the projected future of the discipline An authorial team of internationally renowned experts Epigenetics in Aquaculture is a valuable reference for researchers, biologists and advanced students in any area of marine science, oceanography, aquaculture, environmental science, and food production.

Download or read book An Engineer s POV on Statistics written by Manish Mawatwal and published by Notion Press. This book was released on 2024-01-24 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you’re a seasoned engineer in high school or simply curious about the power of statistics, this beginner-friendly book will captivate you from the very first page. Prepare to be astounded as we unravel the secrets behind some of the most controversial uses of statistics. Discover how numbers were manipulated to change the course of history, from political campaigns to marketing ploys that made you vote for a particular candidate in elections. But this isn't your average statistics textbook. Oh no! We've woven the stories of statistics into a narrative that reads like a captivating novel. You'll meet characters who use numbers to deceive, intrigue, and sometimes even save the day. Each chapter builds your statistical savvy, making even the most complex concepts accessible and fun. So, whether you're itching to debunk the latest sensational headline, make data-driven decisions at work, or simply want to know how to navigate a world awash in numbers, “An Engineer's POV of Statistics” is your ultimate guide. Buckle up and prepare for a wild ride where curiosity meets data, and statistics become the key to unlocking a world of hidden truths! Don't just read about statistics; experience them like never before.

Download or read book Introduction to Stochastic Search and Optimization written by James C. Spall and published by John Wiley & Sons. This book was released on 2005-03-11 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exercises and web links to software and data sets.

Download or read book Introduction to Artificial Intelligence written by Tommy Ptrappen and published by A G Printing & Publishing. This book was released on 2024-09-09 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: playing poorly, but learned to play better by playing many games against itself. Growing to play better than Samuel, this program disproved the (still-made) argument that computers can only do what they are told to do. A particularly good example of how a simple set of rules can produce seemingly complex behavior was Joseph Weizenbaum’s Eliza program, which simulates a Rogerian psychotherapist. Although Eliza’s algorithms are best described as simple pattern matching, and it was not intended as a serious attempt at machine intelligence, it still produced appropriate responses to a variety of statements. Because of programs like Eliza, there was also a hope of building systems in the near future that would pass the Turing Test for machine intelligence. In the Turing Test, a human judge sits at a computer terminal, and chats via instant messenger with one of two entities: either a human or an AI computer program. The human and computer would each try to convince the human judge that they are the human. If the judge is unable tell whether she is chatting with a human or the AI program, then the AI program passes the Turing Test. (Turing considered this a sufficient, but not necessary, condition for intelligence, since a machine could be intelligent without being able to impersonate a human.) Things seemed very rosy. Herb Simon, in 1957, said: It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which human mind has been applied. More precisely: within 10 years a computer would be chess champion, and an important new mathematical theorem would be proved by a computer. Both of these milestones have now been achieved by computers, but each took closer to 40 years, rather than 10. After the initial enthusiasm, there was the dawning realization that problems are much harder than one originally thought, and that simple tricks dont work. For instance, one of Elizas rules was that if the user utters the word ‘mother’, then respond ‘Tell me more about your family’. This sometimes works well, but it can also generate some very unnatural responses. For example, if you say ‘I wanted to adopt a puppy, but its too young to be separated from its mother’, Eliza may also respond ‘Tell me more about your family’. Another example was machine translation. Much time and money were spent following Sputnik’s launch in 1957 on developing systems to automatically translate Russian documents into English. This turned out to be a very hard problem, since much specialized knowledge seems to be required to understand language. A famous example: The spirit is willing but the flesh is weak. was translated into Russian and then retranslated back into English, giving: 1.2 Approaches to AI? 3 The vodka is strong but the meat is rotten. At that point, people realized two things that made the AI problem much harder than they had originally thought. (1) In order to do a good job in any realistic task, simple syntactic manipulation (i.e., simple rules to shuffle words around or do Russian-to-English dictionary lookups) is not good enough. Instead, we must have enough knowledge about the world to really understand what’s being said, so as to reason more deeply about it. For example, in the translation example, we need to understand that ‘spirit’ refers to the metaphorical or mystical human spirit, rather than to alcohol. (2) Computational intractability. The AI goal was defined before the theory of NP-completeness was developed. At that point, people thought that to deal with larger problems, we need only larger/faster computers. In particular, the phenomena of exponential scaling – in which the computation scales exponentially with the size of the problem – was not yet understood. Many early AI methods required solving NP-hard problems, and therefore did not scale well to larger problems.

Download or read book The Analysis Communication and Perception of Risk written by B.John Garrick and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1989 Annual Meeting of the Society for Risk Analysis dramatically demonstrated one of the most important reasons for having the Society - to bring together people with highly diverse backgrounds and disciplines to assess the common problems of societal and individual risks. The physical scientists emphasized the analytical tools for assessing environmental effects and for modeling risks from engineered systems and other human activities. The health scientists presented numerous methods of analyzing health effects, including the subject of dose-response relationships, especially at low exposure levels - never an easy analysis. The social and political scientists concentrated on issues of risk perception, communication, acceptability, and human touch. Others discussed such issues as cost-benefit analysis and the risk-based approach to decision analysis. Use of risk assessment methods for risk management continued to be a matter of strong opinion and debate. The impacts of state and federal regulations, existing and planned, were assessed in sessions and in luncheon speeches. These impacts show that risk analysis practitioners will have an increasingly important role in the future. They will be challenged to provide clear, easily understood evaluations of risk that are responsive to society's concern for risk, as evidenced in laws and regulations. Of course, the various risk analysis specialties overlapped in domains of interest.

Download or read book Machine Learning ECML 2006 written by Johannes Fürnkranz and published by Springer. This book was released on 2006-09-21 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning.