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Maths Mate Gold

Maths Mate Gold PDF Author: Joseph Wright
Publisher:
ISBN: 9781876081591
Category :
Languages : en
Pages : 152

Book Description


Maths Mate Gold

Maths Mate Gold PDF Author: Joseph Wright
Publisher:
ISBN: 9781876081591
Category :
Languages : en
Pages : 152

Book Description


Maths Mate 9 Gold

Maths Mate 9 Gold PDF Author: Joseph Bruce Wright
Publisher:
ISBN: 9781876081393
Category : Mathematics
Languages : en
Pages : 72

Book Description


Maths Mate Gold

Maths Mate Gold PDF Author: J. Wright
Publisher:
ISBN: 9781876081553
Category :
Languages : en
Pages : 72

Book Description


Maths Mate 10 Gold:Student Pad

Maths Mate 10 Gold:Student Pad PDF Author: Joseph Bruce Wright
Publisher:
ISBN: 9781876081416
Category : Mathematics
Languages : en
Pages : 72

Book Description


Maths Mate 9 Gold

Maths Mate 9 Gold PDF Author: Joseph B. Wright
Publisher:
ISBN: 9781921535130
Category :
Languages : en
Pages : 188

Book Description


Maths Mate 9 Gold:Teacher's Resource Book

Maths Mate 9 Gold:Teacher's Resource Book PDF Author: Joseph Bruce Wright
Publisher:
ISBN: 9781876081331
Category : Mathematics
Languages : en
Pages : 152

Book Description


Maths Mate 10 Gold

Maths Mate 10 Gold PDF Author: Joseph B. Wright
Publisher:
ISBN: 9781921535208
Category :
Languages : en
Pages : 176

Book Description


Mathematics and Computation

Mathematics and Computation PDF Author: Avi Wigderson
Publisher: Princeton University Press
ISBN: 0691189137
Category : Computers
Languages : en
Pages : 434

Book Description
An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography

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.

Maths Mate NZ Curriculum Level 5 Part 2 Gold

Maths Mate NZ Curriculum Level 5 Part 2 Gold PDF Author: Joseph B. Wright
Publisher:
ISBN: 9781921535482
Category :
Languages : en
Pages : 180

Book Description