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Author: Eula Ewing Monroe Publisher: Astra Publishing House ISBN: 1590784138 Category : Juvenile Nonfiction Languages : en Pages : 217
Book Description
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.
Author: Eula Ewing Monroe Publisher: Astra Publishing House ISBN: 1590784138 Category : Juvenile Nonfiction Languages : en Pages : 217
Book Description
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.
Author: Ricardo A. Olea Publisher: ISBN: 9780195066890 Category : Reference Languages : en Pages : 202
Book Description
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.
Author: Tibor W. Marton Publisher: Washington, U.S. Department of Commerce ISBN: Category : Encyclopedias and dictionaries Languages : en Pages : 196
Book Description
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).
Author: Marc Peter Deisenroth Publisher: Cambridge University Press ISBN: 1108569323 Category : Computers Languages : en Pages : 392
Book Description
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.
Author: Gladis Kersaint Publisher: Routledge ISBN: 113622758X Category : Education Languages : en Pages : 280
Book Description
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.
Author: Jacqueline S. Thousand Publisher: Corwin Press ISBN: 1483344444 Category : Education Languages : en Pages : 383
Book Description
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
Author: Eula Ewing Monroe
Author: Eula Ewing Monroe
Author: Ricardo A. Olea
Author: The University of the State of New York
Author: 
Author: Tibor W. Marton
Author: 
Author: Marc Peter Deisenroth
Author: Glenn James
Author: Gladis Kersaint
Author: Jacqueline S. Thousand