The Leader's Guide to Unconscious Bias PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Leader's Guide to Unconscious Bias PDF full book. Access full book title The Leader's Guide to Unconscious Bias by Pamela Fuller. Download full books in PDF and EPUB format.
Author: Pamela Fuller
Publisher: Simon and Schuster
ISBN: 1982144327
Category : Business & Economics
Languages : en
Pages : 304
Get Book Here
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
Get Book Here
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: Max Kuhn
Publisher: CRC Press
ISBN: 1351609467
Category : Business & Economics
Languages : en
Pages : 266
Get Book Here
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: Iheoma Iruka
Publisher:
ISBN: 9780876598443
Category : Discrimination in education
Languages : en
Pages : 144
Get Book Here
Book Description
Every day, 250 children are suspended from school. Many are children of color, deprived of opportunities to experience learning at the same rate and quality as white children. Many families don't feel heard or respected in their child's schools. Don't Look Away: Embracing Anti-Bias Classrooms leads early childhood professionals to explore and address issues of bias, equity, low expectations, and family engagement to ensure culturally responsive experiences. Importantly, this book will challenge you to consider your perceptions and thought processes: Identify your own unconscious biases-we all have them! Recognize and minimize bias in the classroom, school, and community Connect with children and their families Help close the opportunity gap for children from marginalized communities This book offers strategies, tools, and information to help you create a culturally responsive and equitable learning environment.
Author: Simant Dube
Publisher: Springer Nature
ISBN: 3030686248
Category : Computers
Languages : en
Pages : 355
Get Book Here
Book Description
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
Author: David S. Moore
Publisher: Macmillan
ISBN: 9780716786368
Category : Mathematics
Languages : en
Pages : 596
Get Book Here
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
Get Book Here
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: Viviana Acquaviva
Publisher: Princeton University Press
ISBN: 0691249539
Category : Science
Languages : en
Pages : 281
Get Book Here
Book Description
A hands-on introduction to machine learning and its applications to the physical sciences As the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond. This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying machine learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method. Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider. Introduces readers to best practices in data-driven problem-solving, from preliminary data exploration and cleaning to selecting the best method for a given task Each chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key concepts Includes a wealth of review questions and quizzes Ideal for advanced undergraduate and early graduate students in STEM disciplines such as physics, computer science, engineering, and applied mathematics Accessible to self-learners with a basic knowledge of linear algebra and calculus Slides and assessment questions (available only to instructors)
Author: Myint Swe Khine
Publisher: Springer Nature
ISBN: 9819993792
Category :
Languages : en
Pages : 389
Get Book Here
Book Description
Author: Daren S. Starnes
Publisher: Macmillan
ISBN: 142924559X
Category : Mathematics
Languages : en
Pages : 959
Get Book Here
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: C. Claeys
Publisher: The Electrochemical Society
ISBN: 1607686759
Category :
Languages : en
Pages : 335
Get Book Here
Book Description
