Author: John Hebborn
Publisher: Heinemann
ISBN: 9780435511197
Category : Juvenile Nonfiction
Languages : en
Pages : 76
Book Description
Revision book written specifically for the Edexcel AS and A Level exams offering: worked examination questions and examples with hints on answering examination questions successfully; test-yourself section; key points reinforcing what students have learned; and answers to all questions.
Revise for Decision Mathematics 1
Author: John Hebborn
Publisher: Heinemann
ISBN: 9780435511197
Category : Juvenile Nonfiction
Languages : en
Pages : 76
Book Description
Revision book written specifically for the Edexcel AS and A Level exams offering: worked examination questions and examples with hints on answering examination questions successfully; test-yourself section; key points reinforcing what students have learned; and answers to all questions.
Publisher: Heinemann
ISBN: 9780435511197
Category : Juvenile Nonfiction
Languages : en
Pages : 76
Book Description
Revision book written specifically for the Edexcel AS and A Level exams offering: worked examination questions and examples with hints on answering examination questions successfully; test-yourself section; key points reinforcing what students have learned; and answers to all questions.
A-Level Mathematics for Edexcel Decision Maths 1
Author: Richard Parsons
Publisher: Coordination Group Publication
ISBN: 9781847628060
Category : A-level examinations
Languages : en
Pages : 204
Book Description
AS/A Level Maths for Edexcel - Decision Maths 1: Student Book
Publisher: Coordination Group Publication
ISBN: 9781847628060
Category : A-level examinations
Languages : en
Pages : 204
Book Description
AS/A Level Maths for Edexcel - Decision Maths 1: Student Book
Decision Mathematics
Author:
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 464
Book Description
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 464
Book Description
Revise for Pure Mathematics 1
Author: Michael Kenwood
Publisher: Heinemann
ISBN: 9780435511104
Category : Juvenile Nonfiction
Languages : en
Pages : 68
Book Description
Revision book written specifically for the Edexcel AS and A Level exams offering: worked examination questions and examples with hints on answering examination questions successfully; test-yourself section; key points reinforcing what students have learned; and answers to all questions.
Publisher: Heinemann
ISBN: 9780435511104
Category : Juvenile Nonfiction
Languages : en
Pages : 68
Book Description
Revision book written specifically for the Edexcel AS and A Level exams offering: worked examination questions and examples with hints on answering examination questions successfully; test-yourself section; key points reinforcing what students have learned; and answers to all questions.
A-Level Mathematics for AQA Decision Maths 1
Author: Richard Parsons
Publisher: Coordination Group Publication
ISBN: 9781847627971
Category : A-level examinations
Languages : en
Pages : 194
Book Description
AS/A Level Maths for AQA - Decision Maths 1: Student Book
Publisher: Coordination Group Publication
ISBN: 9781847627971
Category : A-level examinations
Languages : en
Pages : 194
Book Description
AS/A Level Maths for AQA - Decision Maths 1: Student Book
Revise for Decision Maths 2
Author: John Hebborn
Publisher: Heinemann
ISBN: 9780435511319
Category : Decision making
Languages : en
Pages : 76
Book Description
This book covers the key topics that are tested in the Decision maths 2 exam paper.
Publisher: Heinemann
ISBN: 9780435511319
Category : Decision making
Languages : en
Pages : 76
Book Description
This book covers the key topics that are tested in the Decision maths 2 exam paper.
Revise for Core Mathematics C1
Author: Pledger
Publisher: Heinemann
ISBN: 9780435511227
Category : Mathematics
Languages : en
Pages : 88
Book Description
The clear route to A Level success - new Core titles for the new specification Written by the same authors as the textbooks for a complete match, so are ideal for use alongside the course books. Worked examination questions and examples with hints on answering questions successfully help students push for those top grades. A test-yourself section makes sure students are fully prepared for the exam. Key points help reinforce learning and help students reach their best potential. Answers to all the questions ensure students can check their work. Written by experienced Senior Examiners.
Publisher: Heinemann
ISBN: 9780435511227
Category : Mathematics
Languages : en
Pages : 88
Book Description
The clear route to A Level success - new Core titles for the new specification Written by the same authors as the textbooks for a complete match, so are ideal for use alongside the course books. Worked examination questions and examples with hints on answering questions successfully help students push for those top grades. A test-yourself section makes sure students are fully prepared for the exam. Key points help reinforce learning and help students reach their best potential. Answers to all the questions ensure students can check their work. Written by experienced Senior Examiners.
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.
Algorithms for Decision Making
Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262370239
Category : Computers
Languages : en
Pages : 701
Book Description
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Publisher: MIT Press
ISBN: 0262370239
Category : Computers
Languages : en
Pages : 701
Book Description
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Decisions with Multiple Objectives
Author: Ralph L. Keeney
Publisher: Cambridge University Press
ISBN: 9780521438834
Category : Business & Economics
Languages : en
Pages : 596
Book Description
This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe their thoughts and feelings in order to make the critically important trade-offs between incommensurable objectives.
Publisher: Cambridge University Press
ISBN: 9780521438834
Category : Business & Economics
Languages : en
Pages : 596
Book Description
This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe their thoughts and feelings in order to make the critically important trade-offs between incommensurable objectives.