Your Daily Epsilon of Math Wall Calendar 2024
Your Daily Epsilon of Math Wall Calendar 2024

Author: Rebecca Rapoport

Publisher: American Mathematical Society

Published: 2023-06-07

Total Pages: 16

ISBN-13: 1470474239

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Keep your mind sharp all year long with Your Daily Epsilon of Math Wall Calendar 2024 featuring a new math problem every day and 13 beautiful math images! Let mathematicians Rebecca Rapoport and Dean Chung tickle the left side of your brain by providing you with a math challenge for every day of the year. The solution is always the date, but the fun lies in figuring out how to arrive at the answer, and possibly discovering more than one method of arriving there. Problems run the gamut from arithmetic through graduate level math. Some of the most tricky problems require only middle school math applied cleverly. With word problems, math puns, and interesting math definitions added into the mix, this calendar will intrigue you for the whole year. End the year with more brains than you had when it began with Your Daily Epsilon of Math Wall Calendar 2024.

Mathematics 2022: Your Daily Epsilon of Math
Mathematics 2022: Your Daily Epsilon of Math

Author: Rebecca Rapoport

Publisher:

Published: 2021-08-31

Total Pages: 27

ISBN-13: 1631067788

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Keep your mind sharp all year long with Mathematics 2022: Your Daily Epsilon of Math, a 12" × 12" wall calendar featuring 12 images relating to math concepts! Let mathematicians Rebecca Rapoport and Dean Chung tickle the left side of your brain by providing you with a math challenge for every day of the year. The solution is always the date, but the fun lies in figuring how to arrive at the answer, and possibly discovering more than one method of arriving there. Some of the most tricky problems require only middle school math applied cleverly. With entry-level algebra, word problems, math puns, and interesting math definitions added into the mix, this calendar will intrigue you for the whole year. End the year with more brains than you had when it began with Mathematics 2022: Your Daily Epsilon of Math.

Math Games Lab for Kids
Math Games Lab for Kids

Author: Rebecca Rapoport

Publisher:

Published: 2017

Total Pages: 147

ISBN-13: 1631592521

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Math is the foundation of all sciences and key to understanding the world around us. Math Games Lab for Kids uses over fifty hands-on activities to make learning a variety of math concepts fun and easy for kids. Make learning math fun by sharing these hands-on labs with your child. Math Games Lab for Kids presents more than 50 activities that incorporate coloring, drawing, games, and making shapes to make math more than just numbers. With Math Games Lab for Kids, kids can: Explore geometry and topology by making prisms, antiprisms, Platonic solids, and M bius strips. Build logic skills by playing and strategizing through tangrams, toothpick puzzles, and the game of Nim. Draw and chart graphs to learn the language of connections. Discover how to color maps like a mathematician by using the fewest colors possible. Create mind bending fractals with straight lines and repeat shapes. And don't worry about running to the store for expensive supplies Everything needed to complete the activities can be found in the book or around the house. Math is more important than ever. Give your child a great experience and solid foundation with Math Games Lab for Kids.

Math-A-Day
Math-A-Day

Author: Theoni Pappas

Publisher: Wide World Pub Tetra

Published: 1999

Total Pages: 248

ISBN-13: 9781884550201

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This entertaining book of mathematical days exercises the brain with confounding puzzles, intriguing math problems, and, of course, detailed solutions to all the conundrums. Readers will enjoy 366 days' worth of stimulating math.

Interpretable Machine Learning
Interpretable Machine Learning

Author: Christoph Molnar

Publisher: Lulu.com

Published: 2020

Total Pages: 320

ISBN-13: 0244768528

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

An Illini Place
An Illini Place

Author: Lex Tate

Publisher: University of Illinois Press

Published: 2017-04-17

Total Pages: 725

ISBN-13: 0252099818

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Why does the University of Illinois campus at Urbana-Champaign look as it does today? Drawing on a wealth of research and featuring more than one hundred color photographs, An Illini Place provides an engrossing and beautiful answer to that question. Lex Tate and John Franch trace the story of the university's evolution through its buildings. Oral histories, official reports, dedication programs, and developmental plans both practical and quixotic inform the story. The authors also provide special chapters on campus icons and on the buildings, arenas and other spaces made possible by donors and friends of the university. Adding to the experience is a web companion that includes profiles of the planners, architects, and presidents instrumental in the campus's growth, plus an illustrated inventory of current and former campus plans and buildings.

Applied Predictive Modeling
Applied Predictive Modeling

Author: Max Kuhn

Publisher: Springer Science & Business Media

Published: 2013-05-17

Total Pages: 595

ISBN-13: 1461468493

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Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Simulation Modeling and Analysis with Expertfit Software
Simulation Modeling and Analysis with Expertfit Software

Author: Averill Law

Publisher: McGraw-Hill Science/Engineering/Math

Published: 2006-07-21

Total Pages: 792

ISBN-13: 9780073294414

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Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).

Analytic Combinatorics in Several Variables
Analytic Combinatorics in Several Variables

Author: Robin Pemantle

Publisher: Cambridge University Press

Published: 2013-05-31

Total Pages: 395

ISBN-13: 1107031575

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Aimed at graduate students and researchers in enumerative combinatorics, this book is the first to treat the analytic aspects of combinatorial enumeration from a multivariate perspective.

A Book on C
A Book on C

Author: Al Kelley

Publisher: Benjamin-Cummings Publishing Company

Published: 1990

Total Pages: 548

ISBN-13: 9780805300604

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The authors provide clear examples and thorough explanations of every feature in the C language. They teach C vis-a-vis the UNIX operating system. A reference and tutorial to the C programming language. Annotation copyrighted by Book News, Inc., Portland, OR