Math Dictionary

Math Dictionary
Author: Eula Ewing Monroe
Publisher: Astra Publishing House
Total Pages: 217
Release: 2006-10-01
Genre: Juvenile Nonfiction
ISBN: 1590784138

Here's real help for math students. From abacus to zero property of multiplication, this handy reference guide for students contains more than five hundred common mathematical terms. Written in simple language and illustrated with hundreds of helpful photographs and drawings, Math Dictionary takes the mystery out of math.

Geostatistical Glossary and Multilingual Dictionary

Geostatistical Glossary and Multilingual Dictionary
Author: Ricardo A. Olea
Publisher:
Total Pages: 202
Release: 1991
Genre: Reference
ISBN: 9780195066890

Geostatistics is a branch of mathematics that deals with the sampling, analysis, interpretation and display of phenomena that fluctuate in space. Although not all geostatistical methods are probabilistic in nature, the most important accomplishments in the field have been in estimation and forecasting, extending probabilistic methods of stochastic processes and time series analysis to the spatial domain. This book gives the only available comprehensive collection of definitions of geostatistical terms. It lists more than 600 entries selected from the book and journal literature through the end of 1989. Where appropriate, multiple meanings have been included for specific terms. Cross-references abound to help the reader when the definitions of a word leads to the search for other terms. Although all the definitions are in English, equivalent terms are provided in alphabetized lists in Chinese, French, German, Greek, Portuguese, Russian and Spanish. This volume will provide a useful reference for students, scientists, engineers, and others concerned with the meaning of terms found in the geostatistical literature and heard in professional practice. Definitions and entries have been prepared with multiple levels of rigor and complexity, in order to provide help to a readership that may range from inexperienced practitioners to advanced researchers.

Foreign-language and English Dictionaries in the Physical Sciences and Engineering

Foreign-language and English Dictionaries in the Physical Sciences and Engineering
Author: Tibor W. Marton
Publisher: Washington, U.S. Department of Commerce
Total Pages: 196
Release: 1964
Genre: Encyclopedias and dictionaries
ISBN:

The bibliography lists over 2800 unilingual, bilingual, and polyglot dictionaries, glossaries and encyclopedias in the physical sciences, engineering and technology published during the past twelve years.The majority of the titles cited have English as the xource or target language, or are dictionaries giving definitions * in English.The bibliographic entries are arranged in 49 subject classes; within each subject, the entries are listed alphabetically by language, and within each language group by author.Forty-seven foreign languages are represented in the compilation.Lists of abbreviations and reference sources, and detailed author, language, and subject indexes complement the publication. (Author).

Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 1108569323

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.

Teaching Mathematics to English Language Learners

Teaching Mathematics to English Language Learners
Author: Gladis Kersaint
Publisher: Routledge
Total Pages: 280
Release: 2014-06-05
Genre: Education
ISBN: 113622758X

Today's mathematics classrooms increasingly include students for whom English is a second language. Teaching Mathematics to English Language Learners provides readers a comprehensive understanding of both the challenges that face English language learners (ELLs) and ways in which educators might address them in the secondary mathematics classroom. Framed by a research perspective, Teaching Mathematics to English Language Learners presents practical instructional strategies for engaging learners that can be incorporated as a regular part of instruction. The authors offer context-specific strategies for everything from facilitating classroom discussions with all students, to reading and interpreting math textbooks, to tackling word problems. A fully annotated list of math web and print resources completes the volume, making this a valuable reference to help mathematics teachers meet the challenges of including all learners in effective instruction. Features and updates to this new edition include: An updated and streamlined Part 1 provides an essential overview of ELL theory in a mathematics specific context. Additional practical examples of mathematics problems and exercises make turning theory into practice easy when teaching ELLs New pedagogical elements in Part 3 include tips on harnessing new technologies, discussion questions and reflection points. New coverage of the Common Core State Standards, as well as updates to the web and print resources in Part 4.

Differentiating Instruction

Differentiating Instruction
Author: Jacqueline S. Thousand
Publisher: Corwin Press
Total Pages: 383
Release: 2014-11-14
Genre: Education
ISBN: 1483344444

The ultimate guide to leaving no child behind—newly updated! Now in its second edition, this best-selling book is your one-stop resource for differentiated instruction. Whether you’re new to the concept or just looking to improve your approach, you’ll find tools to meet the needs of all your students. You’ll discover how Universal Design for Learning (UDL) and retrofitting can help you adapt general education curriculum to diverse learning styles. Features of the new edition include A chapter on collaborative planning and evaluation Updated lesson plans tied to the Common Core Greater emphasis on cultural proficiency, ELLs, and gifted students New technology references and resources A strengthened link to RTI