Author: Joseph Wright
Publisher:
ISBN: 9781925114423
Category :
Languages : en
Pages :
Book Description
Math's Mate Blue Student Pad - 4th Edition
Author: Joseph Wright
Publisher:
ISBN: 9781925114423
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781925114423
Category :
Languages : en
Pages :
Book Description
Maths Mate 4: Student pad
Author: Joseph Bruce Wright
Publisher:
ISBN: 9781921535512
Category : Mathematics
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781921535512
Category : Mathematics
Languages : en
Pages :
Book Description
Maths Mate Yellow
Author: J. Wright
Publisher:
ISBN: 9781876081447
Category :
Languages : en
Pages : 72
Book Description
Publisher:
ISBN: 9781876081447
Category :
Languages : en
Pages : 72
Book Description
Maths Mate NZ Curriculum Level 4 Part 2
Author: Joseph B. Wright
Publisher:
ISBN: 9781921535390
Category :
Languages : en
Pages : 72
Book Description
Publisher:
ISBN: 9781921535390
Category :
Languages : en
Pages : 72
Book Description
Maths Mate New Zealand Curriculum Level 4 Part 1 Student Pad
Author: J. B. Wright
Publisher:
ISBN: 9781876081782
Category :
Languages : en
Pages : 72
Book Description
Publisher:
ISBN: 9781876081782
Category :
Languages : en
Pages : 72
Book Description
Maths Mate NZ Curriculum Level 4
Maths Mate NZ Curriculum Level 4 Part 2
Author: J. B. Wright
Publisher:
ISBN: 9781876081645
Category :
Languages : en
Pages : 72
Book Description
Publisher:
ISBN: 9781876081645
Category :
Languages : en
Pages : 72
Book Description
Everyday Mathematics 4th Edition, Grade 4, Spanish Student Reference Book
Author: Bell et al.
Publisher: McGraw-Hill Education
ISBN: 9780021436934
Category : Mathematics
Languages : es
Pages : 352
Book Description
This hardcover resource contains explanations of key mathematical content, with directions to the Everyday Mathematics games.
Publisher: McGraw-Hill Education
ISBN: 9780021436934
Category : Mathematics
Languages : es
Pages : 352
Book Description
This hardcover resource contains explanations of key mathematical content, with directions to the Everyday Mathematics games.
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.
Everyday Mathematics
Author:
Publisher:
ISBN: 9780021409822
Category : Mathematics
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9780021409822
Category : Mathematics
Languages : en
Pages :
Book Description