Author: Library of Congress. Copyright Office
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1914
Book Description
Catalog of Copyright Entries. Third Series
Author: Library of Congress. Copyright Office
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1914
Book Description
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1914
Book Description
The Adult Basic Education Instructional Manual for Older Georgians
Author:
Publisher:
ISBN:
Category : Adult education
Languages : en
Pages : 690
Book Description
Publisher:
ISBN:
Category : Adult education
Languages : en
Pages : 690
Book Description
Resources in Education
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 358
Book Description
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 358
Book Description
First Grade Math with Confidence Instructor Guide (Math with Confidence)
Author: Kate Snow
Publisher: Peace Hill Press
ISBN: 1952469066
Category : Juvenile Nonfiction
Languages : en
Pages : 715
Book Description
Easy-to-use, comprehensive coverage of all essential first grade math topics. This scripted, open-and-go program from math educator Kate Snow will give you the tools you need to teach math with confidence—even if you’ve never taught math before. Short, engaging, and hands-on lessons will help your child develop a strong understanding of math, step by step. Counting, comparing, and writing numbers to 100 Addition and subtraction facts to 20 Addition and subtraction word problems Beginning place-value and mental math Shapes, money, time, and measurement
Publisher: Peace Hill Press
ISBN: 1952469066
Category : Juvenile Nonfiction
Languages : en
Pages : 715
Book Description
Easy-to-use, comprehensive coverage of all essential first grade math topics. This scripted, open-and-go program from math educator Kate Snow will give you the tools you need to teach math with confidence—even if you’ve never taught math before. Short, engaging, and hands-on lessons will help your child develop a strong understanding of math, step by step. Counting, comparing, and writing numbers to 100 Addition and subtraction facts to 20 Addition and subtraction word problems Beginning place-value and mental math Shapes, money, time, and measurement
Essential Mathematics and Statistics for Science
Author: Dr. Graham Currell
Publisher: Wiley
ISBN: 9780470022290
Category : Science
Languages : en
Pages : 0
Book Description
Basic Mathematics and Statistics for Science is a low-level introduction to the essential techniques students need to understand. It assumes little prior knowledge, and adopts a gentle approach that leads through examples in the book and website. No other text provides this range of educational support for science students. The integration between book and website provides study options that would be impossible through a book alone, and allows students to study in ways that suit their own circumstances and preferences. The combination of book and website also provides ready-prepared material for lectures, tutorials and computer practicals. Tutors can use the material to develop a variety of coherent programme using different learning styles. The book develops the mathematics and statistics through examples and questions that reflect the scientific context, and has succeeded in being relevant to a range of undergraduate science programmes.
Publisher: Wiley
ISBN: 9780470022290
Category : Science
Languages : en
Pages : 0
Book Description
Basic Mathematics and Statistics for Science is a low-level introduction to the essential techniques students need to understand. It assumes little prior knowledge, and adopts a gentle approach that leads through examples in the book and website. No other text provides this range of educational support for science students. The integration between book and website provides study options that would be impossible through a book alone, and allows students to study in ways that suit their own circumstances and preferences. The combination of book and website also provides ready-prepared material for lectures, tutorials and computer practicals. Tutors can use the material to develop a variety of coherent programme using different learning styles. The book develops the mathematics and statistics through examples and questions that reflect the scientific context, and has succeeded in being relevant to a range of undergraduate science programmes.
Books and Pamphlets, Including Serials and Contributions to Periodicals
Author: Library of Congress. Copyright Office
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 1666
Book Description
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 1666
Book Description
Probability
Author: David J. Morin
Publisher: Createspace Independent Publishing Platform
ISBN: 9781523318674
Category : Probabilities
Languages : en
Pages : 0
Book Description
Preface -- Combinatorics -- Probability -- Expectation values -- Distributions -- Gaussian approximations -- Correlation and regression -- Appendices.
Publisher: Createspace Independent Publishing Platform
ISBN: 9781523318674
Category : Probabilities
Languages : en
Pages : 0
Book Description
Preface -- Combinatorics -- Probability -- Expectation values -- Distributions -- Gaussian approximations -- Correlation and regression -- Appendices.
Mastering Essential Math Skills
Author: Richard W. Fisher
Publisher:
ISBN: 9780966621112
Category : Activity programs in education
Languages : en
Pages : 0
Book Description
Provides structure and guidance to the teacher by means of speed drills, review exercises, teacher tips, word problems and new material for each day.
Publisher:
ISBN: 9780966621112
Category : Activity programs in education
Languages : en
Pages : 0
Book Description
Provides structure and guidance to the teacher by means of speed drills, review exercises, teacher tips, word problems and new material for each day.
Essential Mathematics for Games and Interactive Applications
Author: James M. Van Verth
Publisher: CRC Press
ISBN: 0123742978
Category : Art
Languages : en
Pages : 706
Book Description
Essential Mathematics for Games and Interactive Applications, 2nd edition presents the core mathematics necessary for sophisticated 3D graphics and interactive physical simulations. The book begins with linear algebra and matrix multiplication and expands on this foundation to cover such topics as color and lighting, interpolation, animation and basic game physics. Essential Mathematics focuses on the issues of 3D game development important to programmers and includes optimization guidance throughout. The new edition Windows code will now use Visual Studio.NET. There will also be DirectX support provided, along with OpenGL - due to its cross-platform nature. Programmers will find more concrete examples included in this edition, as well as additional information on tuning, optimization and robustness. The book has a companion CD-ROM with exercises and a test bank for the academic secondary market, and for main market: code examples built around a shared code base, including a math library covering all the topics presented in the book, a core vector/matrix math engine, and libraries to support basic 3D rendering and interaction.
Publisher: CRC Press
ISBN: 0123742978
Category : Art
Languages : en
Pages : 706
Book Description
Essential Mathematics for Games and Interactive Applications, 2nd edition presents the core mathematics necessary for sophisticated 3D graphics and interactive physical simulations. The book begins with linear algebra and matrix multiplication and expands on this foundation to cover such topics as color and lighting, interpolation, animation and basic game physics. Essential Mathematics focuses on the issues of 3D game development important to programmers and includes optimization guidance throughout. The new edition Windows code will now use Visual Studio.NET. There will also be DirectX support provided, along with OpenGL - due to its cross-platform nature. Programmers will find more concrete examples included in this edition, as well as additional information on tuning, optimization and robustness. The book has a companion CD-ROM with exercises and a test bank for the academic secondary market, and for main market: code examples built around a shared code base, including a math library covering all the topics presented in the book, a core vector/matrix math engine, and libraries to support basic 3D rendering and interaction.
Mathematics for Machine Learning
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.
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.