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Advanced Mathematical Concepts, Interactive

Advanced Mathematical Concepts, Interactive PDF Author: McGraw-Hill Staff
Publisher:
ISBN: 9780078235771
Category :
Languages : en
Pages :

Book Description


Advanced Mathematical Concepts, Interactive

Advanced Mathematical Concepts, Interactive PDF Author: McGraw-Hill Staff
Publisher:
ISBN: 9780078235771
Category :
Languages : en
Pages :

Book Description


Advanced Mathematical Concepts, Interactive Lesson Planner CD-ROM

Advanced Mathematical Concepts, Interactive Lesson Planner CD-ROM PDF Author: McGraw-Hill Staff
Publisher:
ISBN: 9780078212796
Category :
Languages : en
Pages :

Book Description


Advanced Mathematical Concepts: Precalculus with Applications, Student Edition

Advanced Mathematical Concepts: Precalculus with Applications, Student Edition PDF Author: McGraw-Hill Education
Publisher: McGraw-Hill Education
ISBN: 9780078608612
Category : Mathematics
Languages : en
Pages : 983

Book Description
Advanced Mathematical Concepts provides comprehensive coverage of all the topics covered in a full-year Precalculus course. Its unique unit organization readily allows for semester courses in Trigonometry, Discrete Mathematics, Analytic Geometry, and Algebra and Elementary Functions. Pacing and Chapter Charts for Semester Courses are conveniently located on page T4 of the Teacher Wraparound Edition. Advanced Mathematical Concepts lessons develop mathematics using numerous examples, real-world applications, and an engaging narrative. Graphs, diagrams, and illustrations are used throughout to help students visualize concepts. Directions clearly indicate which problems may require the use of a graphing calculator.

Glencoe Advanced Mathematical Concepts

Glencoe Advanced Mathematical Concepts PDF Author: Berchie Woods Gordon-Holliday
Publisher:
ISBN: 9780028341361
Category : Algebra
Languages : en
Pages : 1024

Book Description


Advanced Problems in Mathematics

Advanced Problems in Mathematics PDF Author: Stephen Siklos
Publisher:
ISBN: 9781783747764
Category : Mathematics
Languages : en
Pages : 188

Book Description
This new and expanded edition is intended to help candidates prepare for entrance examinations in mathematics and scientific subjects, including STEP (Sixth Term Examination Paper). STEP is an examination used by Cambridge Colleges for conditional offers in mathematics. They are also used by some other UK universities and many mathematics departments recommend that their applicants practice on the past papers even if they do not take the examination. Advanced Problems in Mathematics bridges the gap between school and university mathematics, and prepares students for an undergraduate mathematics course. The questions analysed in this book are all based on past STEP questions and each question is followed by a comment and a full solution. The comments direct the reader's attention to key points and put the question in its true mathematical context. The solutions point students to the methodology required to address advanced mathematical problems critically and independently. This book is a must read for any student wishing to apply to scientific subjects at university level and for anyone interested in advanced mathematics.

Mathematics for Machine Learning

Mathematics for Machine Learning PDF 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.

Advanced Math Concepts

Advanced Math Concepts PDF Author: McGraw-Hill Staff
Publisher:
ISBN: 9780078265983
Category :
Languages : en
Pages :

Book Description


Beast Academy Guide 2A

Beast Academy Guide 2A PDF Author: Jason Batterson
Publisher:
ISBN: 9781934124307
Category :
Languages : en
Pages :

Book Description
Beast Academy Guide 2A and its companion Practice 2A (sold separately) are the first part in the planned four-part series for 2nd grade mathematics. Book 2A includes chapters on place value, comparing, and addition.

Basics of Statistics

Basics of Statistics PDF Author: Jarkko Isotalo
Publisher:
ISBN: 9781502424655
Category :
Languages : en
Pages : 84

Book Description
Basics of StatisticsBy Jarkko Isotalo

No Bullshit Guide to Linear Algebra

No Bullshit Guide to Linear Algebra PDF Author: Ivan Savov
Publisher:
ISBN: 9780992001025
Category : MATHEMATICS
Languages : en
Pages : 596

Book Description
This textbook covers the material for an undergraduate linear algebra course: vectors, matrices, linear transformations, computational techniques, geometric constructions, and theoretical foundations. The explanations are given in an informal conversational tone. The book also contains 100+ problems and exercises with answers and solutions. A special feature of this textbook is the prerequisites chapter that covers topics from high school math, which are necessary for learning linear algebra. The presence of this chapter makes the book suitable for beginners and the general audience-readers need not be math experts to read this book. Another unique aspect of the book are the applications chapters (Ch 7, 8, and 9) that discuss applications of linear algebra to engineering, computer science, economics, chemistry, machine learning, and even quantum mechanics.