The Mathematics Of Data
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The Mathematics Of Data
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Author : Michael W. Mahoney
language : en
Publisher:
Release Date : 2018
The Mathematics Of Data written by Michael W. Mahoney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with MATHEMATICS categories.
Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer science, as well as many other areas. This book gives an introduction to the mathematical methods that form the foundations of machine learning and data science, presented by leading experts in computer science, statistics, and applied mathematics. Although the chapters can be read independently, they are designed to be read together as they lay out algorithmic, statistical, and numerical approaches in diverse but complementary ways. This book can be used both a.
Mathematics Of Data Science
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Author : Daniela Calvetti
language : en
Publisher: SIAM
Release Date : 2020-11-20
Mathematics Of Data Science written by Daniela Calvetti and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with Mathematics categories.
This textbook provides a solid mathematical basis for understanding popular data science algorithms for clustering and classification and shows that an in-depth understanding of the mathematics powering these algorithms gives insight into the underlying data. It presents a step-by-step derivation of these algorithms, outlining their implementation from scratch in a computationally sound way. Mathematics of Data Science: A Computational Approach to Clustering and Classification proposes different ways of visualizing high-dimensional data to unveil hidden internal structures, and nearly every chapter includes graphical explanations and computed examples using publicly available data sets to highlight similarities and differences among the algorithms. This self-contained book is geared toward advanced undergraduate and beginning graduate students in the mathematical sciences, engineering, and computer science and can be used as the main text in a semester course. Researchers in any application area where data science methods are used will also find the book of interest. No advanced mathematical or statistical background is assumed.
Explorations In The Mathematics Of Data Science
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Author : Simon Foucart
language : en
Publisher: Springer Nature
Release Date : 2024-09-12
Explorations In The Mathematics Of Data Science written by Simon Foucart and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-12 with Mathematics categories.
This edited volume reports on the recent activities of the new Center for Approximation and Mathematical Data Analytics (CAMDA) at Texas A&M University. Chapters are based on talks from CAMDA’s inaugural conference – held in May 2023 – and its seminar series, as well as work performed by members of the Center. They showcase the interdisciplinary nature of data science, emphasizing its mathematical and theoretical foundations, especially those rooted in approximation theory.
The Data Coach S Guide To Improving Learning For All Students
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Author : Nancy Love
language : en
Publisher: Corwin Press
Release Date : 2008-02-21
The Data Coach S Guide To Improving Learning For All Students written by Nancy Love and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-21 with Education categories.
"This book offers a compelling message of hope and resolve. The authors′ three-year journey in a multiplicity of diverse, underperforming, high-poverty schools across the nation has resulted in a treasure chest of knowledge and experiences about how to professionally develop data coaches in ways that benefit some of our most underserved students. This book provides powerful resources to those who have the belief, passion, and desire for implementing collaborative data inquiries in schools and districts." —From the Foreword by Ruth S. Johnson Use data as an effective tool for school change and improvement! How can data coaches create a collaborative culture in which data is used continuously and effectively to improve teaching and learning? The Data Coach′s Guide to Improving Learning for All Students provides detailed guidance for helping schools move away from unproductive data practices and toward examining data as a catalyst for systematic and continuous improvement in instruction and student learning. To help both current and aspiring data coaches facilitate school-based data teams and lead teachers in collaborative inquiry, the authors demonstrate a data model that has been field-tested and proven to be effective in: Narrowing achievement gaps between students in all content areas and grade levels Achieving strong, steady gains in local and state assessments in mathematics, science, and reading Using data as a springboard for powerful conversations about race/ethnicity, class, educational status, gender, and language differences Developing shared values and a vision for creating a high-performing, data-informed school culture This culturally responsive resource benefits staff developers, teachers, and administrators interested in creating change through effective data practices, and includes a CD-ROM keyed to the book, with templates, handouts, PowerPoint slides, resources, and sample goals and agendas.
Data Driven Instructional Leadership
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Author : Rebecca J. Blink
language : en
Publisher: Routledge
Release Date : 2014-01-09
Data Driven Instructional Leadership written by Rebecca J. Blink and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-09 with Education categories.
With real-world examples from actual schools, this book shows you how to nurture a culture of continuous improvement, meet the needs of individual students, foster an environment of high expectations, and meet the requirements of NCLB.
The Mathematics Coaching Handbook
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Author : Pia Hansen
language : en
Publisher: Routledge
Release Date : 2015-10-30
The Mathematics Coaching Handbook written by Pia Hansen and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-30 with Education categories.
Learn how you can work more effectively with teachers in your role as a math coach or department chair. Coaching can be a rewarding experience both personally and professionally, but it also requires taking risks, being up-to-date on the latest research, implementing best practices, and managing relationships. In this practical book for grades K-8, you’ll gain helpful insight on being an effective mentor, coach, and colleague to your math teachers. You’ll find out how to: Develop relationships with your teachers through one-to-one collaboration; Establish teacher-teams to meet goals effectively; Improve student achievement by implementing best practices for math education; Overcome common challenges faced by coaches and teacher-leaders; And more! This updated second edition contains new information on empowering teachers to tackle the key shifts of the Common Core. It also offers updated advice on ways to conduct professional development with teachers such as through online chats and book studies. The book’s appendices offer additional resources for math coaches, including rubrics, conference guides, and tools for classroom observations.
Implicit Curves And Surfaces Mathematics Data Structures And Algorithms
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Author : Abel Gomes
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-12
Implicit Curves And Surfaces Mathematics Data Structures And Algorithms written by Abel Gomes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-12 with Computers categories.
Implicit objects have gained increasing importance in geometric modeling, visualisation, animation, and computer graphics, because their geometric properties provide a good alternative to traditional parametric objects. This book presents the mathematics, computational methods and data structures, as well as the algorithms needed to render implicit curves and surfaces, and shows how implicit objects can easily describe smooth, intricate, and articulatable shapes, and hence why they are being increasingly used in graphical applications. Divided into two parts, the first introduces the mathematics of implicit curves and surfaces, as well as the data structures suited to store their sampled or discrete approximations, and the second deals with different computational methods for sampling implicit curves and surfaces, with particular reference to how these are applied to functions in 2D and 3D spaces.
Leveled Texts For Mathematics Data Analysis And Probability
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Author : Stephanie Paris
language : en
Publisher: Teacher Created Materials
Release Date : 2011-06-01
Leveled Texts For Mathematics Data Analysis And Probability written by Stephanie Paris and has been published by Teacher Created Materials this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-01 with Education categories.
With a focus on data analysis and probability, a guide to using leveled texts to differentiate instruction in mathematics offers fifteen different topics with high-interest text written at four different reading levels, accompanied by matching visuals and practice problems.
Longitudinal Data Analysis For The Behavioral Sciences Using R
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Author : Jeffrey D. Long
language : en
Publisher: SAGE Publications
Release Date : 2011-10-31
Longitudinal Data Analysis For The Behavioral Sciences Using R written by Jeffrey D. Long and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-31 with Social Science categories.
This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted.
Data Modeling Fundamentals
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Author : Paulraj Ponniah
language : en
Publisher: John Wiley & Sons
Release Date : 2007-06-30
Data Modeling Fundamentals written by Paulraj Ponniah and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-30 with Computers categories.
The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.