Go Math! Sta 2018, Accelerated 7
Author :
Publisher :
Page : pages
File Size : 46,15 MB
Release :
Category :
ISBN : 9781328772923
Author :
Publisher :
Page : pages
File Size : 46,15 MB
Release :
Category :
ISBN : 9781328772923
Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
Page : 392 pages
File Size : 44,18 MB
Release : 2020-04-23
Category : 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.
Author : Mary P. Dolciani
Publisher : Houghton Mifflin
Page : 0 pages
File Size : 10,66 MB
Release : 1991
Category : Mathematical analysis
ISBN : 9780395524329
Author :
Publisher :
Page : pages
File Size : 29,68 MB
Release : 2017-09
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ISBN : 9781328901682
Author : Stephen Boyd
Publisher : Cambridge University Press
Page : 477 pages
File Size : 24,96 MB
Release : 2018-06-07
Category : Business & Economics
ISBN : 1316518965
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author : David H. Allsopp
Publisher : Brookes Publishing Company
Page : 316 pages
File Size : 46,26 MB
Release : 2007
Category : Education
ISBN :
Making mathematics concepts understandable is a challenge for any teacher--a challenge that's more complex when a classroom includes students with learning difficulties. With this highly practical resource, educators will have just what they need to teach mathematics with confidence: research-based strategies that really work with students who have learning disabilities, ADHD, or mild cognitive disabilities. This urgently needed guidebook helps teachers Understand why students struggle.Teachers will discover how the common learning characteristics of students with learning difficulties create barriers to understanding mathematics. Review the Big Ideas. Are teachers focusing on the right things? A helpful primer on major NCTM-endorsed mathematical concepts and processes helps them be sure. Directly address students' learning barriers. With the lesson plans, practical strategies, photocopiable information-gathering forms, and online strategies in action, teachers will have concrete ways to help students grasp mathematical concepts, improve their proficiency, and generalize knowledge in multiple contexts. Check their own strengths and needs. Educators will reflect critically on their current practices with a thought-provoking questionnaire. With this timely book--filled with invaluable ideas and strategies adaptable for grades K-12--educators will know just what to teach and how to teach it to students with learning difficulties.
Author : Hmh Hmh
Publisher : Holt McDougal Go Math!
Page : 0 pages
File Size : 19,96 MB
Release : 2013-12-12
Category : Education
ISBN : 9780544206984
Author : Thomas Hyun
Publisher :
Page : pages
File Size : 48,21 MB
Release : 2016-05-01
Category :
ISBN : 9780975475355
SAT MATH TEST BOOK
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Page : pages
File Size : 20,81 MB
Release : 2017-09
Category :
ISBN : 9781328901804
Author : Eric Lehman
Publisher :
Page : 988 pages
File Size : 22,89 MB
Release : 2017-03-08
Category : Business & Economics
ISBN : 9789888407064
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.