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Data and Probability Connections

2007 Mathematics
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Release : 2007
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Data and Probability Connections by : Debra A. Perkowski

Download or read book Data and Probability Connections written by Debra A. Perkowski. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: Part of a project funded by the National Science Foundation to improve the quality of mathematics and science teaching in grades K-12, this new guide models the student-centered approach recommended by the National Council of Teachers of Mathematics to teach introductory statistics. Provides future middle grade mathematics teachers with a strong foundation, connecting the mathematics they are learning with the mathematics they will be teaching. Gives enhanced meaning to formulas via a visual or geometric approach. Uses numerous illustrations to assist readers in making explicit connections between a typical college elementary statistics course and the statistical concepts taught by middle school teachers. For anyone interested in introductory statistics.

Data Analysis and Probability Connections

2006-06-15
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Release : 2006-06-15
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Kind : eBook
Book Rating : 213/5 ( reviews)

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Book Synopsis Data Analysis and Probability Connections by : Perkowski

Download or read book Data Analysis and Probability Connections written by Perkowski. This book was released on 2006-06-15. Available in PDF, EPUB and Kindle. Book excerpt:

Foundations of Data Science

2020-01-23 Computers
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Release : 2020-01-23
Genre : Computers
Kind : eBook
Book Rating : 360/5 ( reviews)

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Book Synopsis Foundations of Data Science by : Avrim Blum

Download or read book Foundations of Data Science written by Avrim Blum. This book was released on 2020-01-23. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Authentic Learning Activities: Data Analysis, Statistics & Probability

2000 Mathematics
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Release : 2000
Genre : Mathematics
Kind : eBook
Book Rating : 194/5 ( reviews)

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Book Synopsis Authentic Learning Activities: Data Analysis, Statistics & Probability by : Brendan Kelly

Download or read book Authentic Learning Activities: Data Analysis, Statistics & Probability written by Brendan Kelly. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt:

Probability and Games

2018-01-24 Education
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Release : 2018-01-24
Genre : Education
Kind : eBook
Book Rating : 636/5 ( reviews)

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Book Synopsis Probability and Games by : Bowen Kerins

Download or read book Probability and Games written by Bowen Kerins. This book was released on 2018-01-24. Available in PDF, EPUB and Kindle. Book excerpt: Designed for precollege teachers by a collaborative of teachers, educators, and mathematicians, Probability and Games is based on a course offered in the Summer School Teacher Program at the Park City Mathematics Institute. This course leads participants through an introduction to probability and statistics, with particular focus on conditional probability, hypothesis testing, and the mathematics of election analysis. These ideas are tied together through low-threshold entry points including work with real and fake coin-flipping data, short games that lead to key concepts, and inroads to connecting the topics to number theory and algebra. But this book isn't a “course” in the traditional sense. It consists of a carefully sequenced collection of problem sets designed to develop several interconnected mathematical themes. These materials provide participants with the opportunity for authentic mathematical discovery—participants build mathematical structures by investigating patterns, use reasoning to test and formalize their ideas, offer and negotiate mathematical definitions, and apply their theories and mathematical machinery to solve problems. Probability and Games is a volume of the book series “IAS/PCMI—The Teacher Program Series” published by the American Mathematical Society. Each volume in this series covers the content of one Summer School Teacher Program year and is independent of the rest.

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