Download or read book The Ten Equations That Rule the World written by David Sumpter and published by Flatiron Books. This book was released on 2021-08-24 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is there a secret formula for getting rich? For going viral? For deciding how long to stick with your current job, Netflix series, or even relationship? This book is all about the equations that make our world go round. Ten of them, in fact. They are integral to everything from investment banking to betting companies and social media giants. And they can help you to increase your chance of success, guard against financial loss, live more healthfully, and see through scaremongering. They are known by only the privileged few - until now. With wit and clarity, mathematician David Sumpter shows that it isn't the technical details that make these formulas so successful. It is the way they allow mathematicians to view problems from a different angle - a way of seeing the world that anyone can learn. Empowering and illuminating, The Ten Equations shows how math really can change your life.
Download or read book Bringing Math Students Into the Formative Assessment Equation written by Susan Janssen Creighton and published by Corwin Press. This book was released on 2015-01-21 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make formative assessment work for you—and your math students! Finally, formative assessment that adds up! Bringing Math Students Into the Formative Assessment Equation is the ultimate resource for helping teachers implement formative assessment in the middle school mathematics classroom. And it’s much more than that. With this research-based, teacher-tested guide, you won’t just learn effective teaching strategies—you’ll turn your students into self-regulated learners. They’ll monitor and assess their own progress—and communicate to you about it! Features include: A clear and manageable six-aspect instructional model Detailed strategies for helping students own their successes Real-life examples from middle school mathematics teachers Useful resources and a companion website to help you implement formative assessment in your classroom Formative assessment isn’t just for teachers anymore. With the help of this essential resource, you’ll work together with your students toward a common goal of math success. "This book is outstanding. I would recommend it to any math educator. The depth of research integrated into practice is extensive and, as a result, it is the most practical book I have come across related to formative assessment and mathematics The self-regulation aspects, as well as the ownership and involvement emphasized in the book, went beyond the traditional cognitive strategies endorsed in most books." Marc Simmons, Principal Ilwaco Middle School, Ocean Beach School District, Long Beach, WA "The ideas in this book are brought to life with examples of teachers and students in the classroom. The teacher voices, comments, and quotes lend credibility and are a big component of the book’s strengths as well as the visuals and graphics." Rita Tellez, Math Coordinator Ysleta Independent School District, El Paso, TX
Download or read book Balancing the Equation written by Matthew R. Larson and published by . This book was released on 2016-04-29 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Copublished with the National Council of Teachers of Mathematics, this book focuses on individuals involved in K 12 mathematics education particularly educators and parents who seek to improve their understanding of mathematics and help students succeed. The authors tackle popular misconceptions and misguided discourse about mathematics education and draw on peer-reviewed research about instruction that can significantly improve student learning."
Download or read book The Learning Curve Equation written by Louis Leon Thurstone and published by . This book was released on 1919 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Download or read book The Learning Equation written by Why Interactive and published by Brooks Cole. This book was released on 2001-08-10 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consists of 65 interactive lessons on college prealgebra. Topics covered: whole numbers, fractions and decimals, integers, rational numbers and sqare roots, the language of algebra, linear equations, polynomials, ratio and percent, measurement, area, perimeter and volume, polygons and circles.
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Download or read book The Equation of Knowledge written by Lê Nguyên Hoang and published by CRC Press. This book was released on 2020-06-18 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science introduces readers to the Bayesian approach to science: teasing out the link between probability and knowledge. The author strives to make this book accessible to a very broad audience, suitable for professionals, students, and academics, as well as the enthusiastic amateur scientist/mathematician. This book also shows how Bayesianism sheds new light on nearly all areas of knowledge, from philosophy to mathematics, science and engineering, but also law, politics and everyday decision-making. Bayesian thinking is an important topic for research, which has seen dramatic progress in the recent years, and has a significant role to play in the understanding and development of AI and Machine Learning, among many other things. This book seeks to act as a tool for proselytising the benefits and limits of Bayesianism to a wider public. Features Presents the Bayesian approach as a unifying scientific method for a wide range of topics Suitable for a broad audience, including professionals, students, and academics Provides a more accessible, philosophical introduction to the subject that is offered elsewhere
Download or read book Action Learning at Work written by Alan Mumford and published by Gower Publishing, Ltd.. This book was released on 1997 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book Professor Mumford, himself a leading exponent of Action Learning, has brought together more than 34 articles and papers on the subject from a variety of sources. They reflect the experience not only of those responsible for AL programmes but also of learners and client organizations. A wide range of issues is addressed, from underlying philosophy to evaluation, from the learning process itself to ways of integrating the 'P' and the 'Q' of Revans' famous equation.
Download or read book Hands On Machine Learning with TensorFlow js written by Kai Sasaki and published by Packt Publishing Ltd. This book was released on 2019-11-27 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.
Download or read book Application of Structural Equation Modeling in Educational Research and Practice written by Myint Swe Khine and published by Springer Science & Business Media. This book was released on 2013-10-30 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.
Download or read book The Gender Equation in Schools written by Jason Ablin and published by Routledge. This book was released on 2022-06-16 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compelling book takes you inside a teacher’s journey to explore the question of gender in education. Jason Ablin uses his background in math teaching, school leadership, and neuroscience to present expert interviews, research, and anecdotes about gender bias in schools and how it impacts our best efforts to educate children. He provides practical takeaways on how teachers and leaders can do better for students. There is also a handy Appendix with step-by-step guides for facilitating faculty-wide conversations around gender; writing learning reports without gender bias; using student assessments to check gendered attitudes about learning; evaluating learning spaces; and creating an inquiry map of your classroom. As a teacher, administrator, DEI director, or homeschooling parent, with the strategies and stories in this book, you’ll be ready to embark upon your own journey to balance the gender equation and create greater equity for all of your students.
Download or read book The Talent Equation Big Data Lessons for Navigating the Skills Gap and Building a Competitive Workforce written by Matt Ferguson and published by McGraw Hill Professional. This book was released on 2013-11-13 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is your HR department prepared to flip the big data switch? At every stage of the employee life cycle, a data-driven approach to HR can help companies make smarter decisions about their most important asset: their people. This title shows you how to navigate hiring climate and drive your business forward.
Download or read book Data Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Download or read book The Learning and Teaching of Algebra written by Abraham Arcavi and published by Routledge. This book was released on 2016-06-23 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: IMPACT (Interweaving Mathematics Pedagogy and Content for Teaching) is an exciting new series of texts for teacher education which aims to advance the learning and teaching of mathematics by integrating mathematics content with the broader research and theoretical base of mathematics education. The Learning and Teaching of Algebra provides a pedagogical framework for the teaching and learning of algebra grounded in theory and research. Areas covered include: • Algebra: Setting the Scene • Some Lessons From History • Seeing Algebra Through the Eyes of a Learner • Emphases in Algebra Teaching • Algebra Education in the Digital Era This guide will be essential reading for trainee and qualified teachers of mathematics, graduate students, curriculum developers, researchers and all those who are interested in the "problématique" of teaching and learning algebra. It allows you to get involved in the wealth of knowledge that teachers can draw upon to assist learners, helping you gain the insights that mastering algebra provides.
Download or read book Pell s Equation written by Edward J. Barbeau and published by Springer Science & Business Media. This book was released on 2006-05-04 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pell's equation is part of a central area of algebraic number theory that treats quadratic forms and the structure of the rings of integers in algebraic number fields. It is an ideal topic to lead college students, as well as some talented and motivated high school students, to a better appreciation of the power of mathematical technique. Even at the specific level of quadratic diophantine equations, there are unsolved problems, and the higher degree analogues of Pell's equation, particularly beyond the third, do not appear to have been well studied. In this focused exercise book, the topic is motivated and developed through sections of exercises which will allow the readers to recreate known theory and provide a focus for their algebraic practice. There are several explorations that encourage the reader to embark on their own research. A high school background in mathematics is all that is needed to get into this book, and teachers and others interested in mathematics who do not have (or have forgotten) a background in advanced mathematics may find that it is a suitable vehicle for keeping up an independent interest in the subject.
Download or read book Neural Networks for Pattern Recognition written by Albert Nigrin and published by MIT Press. This book was released on 1993 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction. Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory.
