College Algebra 3e Textbook + College Algebra Plus Integrated Review 3e Software + EBook + Guided Notebook PDF Download
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Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642773309
Category :
Languages : en
Pages :
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Book Description
Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642773309
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642773385
Category :
Languages : en
Pages :
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Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642773378
Category :
Languages : en
Pages :
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Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642773040
Category :
Languages : en
Pages :
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Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642773057
Category :
Languages : en
Pages :
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Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642770940
Category :
Languages : en
Pages :
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Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642773354
Category :
Languages : en
Pages :
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Author: Jay Abramson
Publisher:
ISBN: 9789888407439
Category : Mathematics
Languages : en
Pages : 892
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Book Description
College Algebra provides a comprehensive exploration of algebraic principles and meets scope and sequence requirements for a typical introductory algebra course. The modular approach and richness of content ensure that the book meets the needs of a variety of courses. College Algebra offers a wealth of examples with detailed, conceptual explanations, building a strong foundation in the material before asking students to apply what they've learned. Coverage and Scope In determining the concepts, skills, and topics to cover, we engaged dozens of highly experienced instructors with a range of student audiences. The resulting scope and sequence proceeds logically while allowing for a significant amount of flexibility in instruction. Chapters 1 and 2 provide both a review and foundation for study of Functions that begins in Chapter 3. The authors recognize that while some institutions may find this material a prerequisite, other institutions have told us that they have a cohort that need the prerequisite skills built into the course. Chapter 1: Prerequisites Chapter 2: Equations and Inequalities Chapters 3-6: The Algebraic Functions Chapter 3: Functions Chapter 4: Linear Functions Chapter 5: Polynomial and Rational Functions Chapter 6: Exponential and Logarithm Functions Chapters 7-9: Further Study in College Algebra Chapter 7: Systems of Equations and Inequalities Chapter 8: Analytic Geometry Chapter 9: Sequences, Probability and Counting Theory
Author: Hawkes Learning Systems
Publisher:
ISBN: 9781642771596
Category :
Languages : en
Pages :
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Book Description
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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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.
