Mining Mathematics Simplified
Author: James Wardlaw
Publisher:
Published: 1919
Total Pages: 202
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: James Wardlaw
Publisher:
Published: 1919
Total Pages: 202
ISBN-13:
DOWNLOAD EBOOKAuthor: James Wardlaw
Publisher:
Published: 1919
Total Pages: 190
ISBN-13:
DOWNLOAD EBOOKAuthor: Saraswati Experts
Publisher: New Saraswati House India Pvt Ltd
Published:
Total Pages: 333
ISBN-13: 9350410192
DOWNLOAD EBOOKA book on Mathematics
Author: Thomas Fisher
Publisher:
Published: 1854
Total Pages: 156
ISBN-13:
DOWNLOAD EBOOKAuthor: John SanGiovanni
Publisher: Corwin Press
Published: 2016-10-31
Total Pages: 385
ISBN-13: 1506382290
DOWNLOAD EBOOKBeing an effective math educator is one part based on the quality of the tasks we give, one part how we diagnose what we see, and one part what we do with what we find. Yet with so many students and big concepts to cover, it can be hard to slow down enough to look for those moments when students’ responses tell us what we need to know about next best steps. In this remarkable book, John SanGiovanni helps us value our young learners’ misconceptions and incomplete understandings as much as their correct ones—because it’s the gap in their understanding today that holds the secrets to planning tomorrow’s best teaching. SanGiovanni lays out 160 high-quality tasks aligned to the standards and big ideas of grades K-2 mathematics, including counting and representing numbers, number relationships and comparison, addition and subtraction within 100 and 1000, money and time, and multiplication and division. The tasks are all downloadable so you can use or modify them for instruction and assessment. Each big idea offers a starting task followed by: what makes it a high-quality taskwhat you might anticipate before students work with the task 4 student examples of the completed task showcasing a distinct "gap" commentary on what precisely counts for mathematical understanding and the next instructional steps commentary on the misconception or incomplete understanding so you learn why the student veered off course three additional tasks aligned to the mathematics topic and ideas about what students might do with these additional tasks. It’s time to break our habit of rushing into re-teaching for correctness and instead get curious about the space between right and wrong answers. Mine the Gap for Mathematical Understanding is a book you will return to again and again to get better at selecting tasks that will uncover students’ reasoning—better at discerning the quality and clarity of students’ understanding—and better at planning teaching based on the gaps you see.
Author: Kusum Wadhwa and Anju Loomba
Publisher: New Saraswati House India Pvt Ltd
Published:
Total Pages: 306
ISBN-13: 8173356912
DOWNLOAD EBOOKA text book on Maths
Author: George S. Koch
Publisher:
Published: 1974
Total Pages: 56
ISBN-13:
DOWNLOAD EBOOKAuthor: Xueqiu He
Publisher: CRC Press
Published: 2014-02-11
Total Pages: 1336
ISBN-13: 1315770121
DOWNLOAD EBOOKProgress in Mine Safety Science and Engineering II discusses mine safety techniques and technologies, methods and approaches, as well as problems and issues, and will be of invaluable to academics and engineers interested or involved in mine safety issues.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Published: 2020-04-23
Total Pages: 392
ISBN-13: 1108569323
DOWNLOAD EBOOKThe 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.