Author: Publisher: Rex Bookstore, Inc.
ISBN: 9789712335334
Category :
Languages : en
Pages : 244
Book Description
Interactive Mathematics Ii Tm' 2001 Ed.
Author: Publisher: Rex Bookstore, Inc.
ISBN: 9789712335334
Category :
Languages : en
Pages : 244
Book Description
Interactive Mathematics i Tm' 2001 Ed.
Author: Publisher: Rex Bookstore, Inc.
ISBN: 9789712335327
Category :
Languages : en
Pages : 172
Book Description
Interactive Mathematics Ii' 2001 Ed.
Author: Publisher: Rex Bookstore, Inc.
ISBN: 9789712331176
Category :
Languages : en
Pages : 604
Book Description
Interactive Mathematics Iii' 2001 Ed.
Author: Publisher: Rex Bookstore, Inc.
ISBN: 9789712331183
Category :
Languages : en
Pages : 612
Book Description
Interactive Mathematics Iv' 2001 Ed.
Author: Publisher: Rex Bookstore, Inc.
ISBN: 9789712331190
Category :
Languages : en
Pages : 674
Book Description
Interactive Mathematics
Author: Publisher: Rex Bookstore, Inc.
ISBN: 9789712331169
Category : Algebras, Linear
Languages : en
Pages : 464
Book Description
Forthcoming Books
Author: Rose ArnyPublisher:
ISBN:
Category : American literature
Languages : en
Pages : 1306
Book Description
Mathematics for Machine Learning
Author: Marc Peter DeisenrothPublisher: 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.
Interactivity in E-Learning: Case Studies and Frameworks
Author: Wang, HaominPublisher: IGI Global
ISBN: 161350442X
Category : Education
Languages : en
Pages : 409
Book Description
"This book provides a comprehensive examination of interactivity, combining key perspectives from communication and media studies, distributed cognition, system affordances, user control, and social interaction, intended for researchers working in the fields of communication and media, educational media, e-learning, and instructional technology"--Provided by publisher.
Sequential Experiments with Primes
Author: Mihai CaragiuPublisher: Springer
ISBN: 3319567624
Category : Mathematics
Languages : en
Pages : 281
Book Description
With a specific focus on the mathematical life in small undergraduate colleges, this book presents a variety of elementary number theory insights involving sequences largely built from prime numbers and contingent number-theoretic functions. Chapters include new mathematical ideas and open problems, some of which are proved in the text. Vector valued MGPF sequences, extensions of Conway’s Subprime Fibonacci sequences, and linear complexity of bit streams derived from GPF sequences are among the topics covered in this book. This book is perfect for the pure-mathematics-minded educator in a small undergraduate college as well as graduate students and advanced undergraduate students looking for a significant high-impact learning experience in mathematics.