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Decision Mathematics 1
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Book Synopsis Mathematics of the Decision Sciences by : George Bernard Dantzig
Download or read book Mathematics of the Decision Sciences written by George Bernard Dantzig and published by American Mathematical Soc.. This book was released on 1968-12-31 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Revise for Decision Mathematics 1 by : John Hebborn
Download or read book Revise for Decision Mathematics 1 written by John Hebborn and published by Heinemann. This book was released on 2001 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Elementary Decision Theory by : Herman Chernoff
Download or read book Elementary Decision Theory written by Herman Chernoff and published by Courier Corporation. This book was released on 1986-01-01 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-respected introduction to statistics and statistical theory covers data processing, probability and random variables, utility and descriptive statistics, computation of Bayes strategies, models, testing hypotheses, and much more. 1959 edition.
Book Synopsis Decision and Discrete Mathematics by : I Hardwick
Download or read book Decision and Discrete Mathematics written by I Hardwick and published by Elsevier. This book was released on 1996-01-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text offers a complete coverage in the Decision Mathematics module, also known as Discrete Mathematics, of the syllabuses of English A-level examination boards. it is a rewritten and modern version of Decision Mathematics (published by Ellis Horwood Ltd in 1986 for The Spode Group, so well known for its development of innovative mathematics teaching). It is also a suitable text for foundation and first year undergraduate courses in qualitative studies or operational research, or for access courses for students needing strengthening in mathematics, or for students who are moving into mathematics from another subject discipline.Compact and concise, it reflects the combined teaching skills and experience of its authors who know exactly what mathematics must be learnt at the readership level today. The text is built up in modular fashion, explaining concepts used in decision mathematics and related operational research, and electronics. It emphasises an understanding of techniques and algorithms, which it relates to real life situations and working problems that will apply throughout future working careers. - Clear explanations of algorithms and all concepts - Plentiful worked examples, clear diagrams - Many exercises (with answers for self-study)
Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis How Not to Be Wrong by : Jordan Ellenberg
Download or read book How Not to Be Wrong written by Jordan Ellenberg and published by Penguin Press. This book was released on 2014-05-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brilliant tour of mathematical thought and a guide to becoming a better thinker, How Not to Be Wrong shows that math is not just a long list of rules to be learned and carried out by rote. Math touches everything we do; It's what makes the world make sense. Using the mathematician's methods and hard-won insights-minus the jargon-professor and popular columnist Jordan Ellenberg guides general readers through his ideas with rigor and lively irreverence, infusing everything from election results to baseball to the existence of God and the psychology of slime molds with a heightened sense of clarity and wonder. Armed with the tools of mathematics, we can see the hidden structures beneath the messy and chaotic surface of our daily lives. How Not to Be Wrong shows us how--Publisher's description.
Book Synopsis Statistical Decision Theory by : James Berger
Download or read book Statistical Decision Theory written by James Berger and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision theory is generally taught in one of two very different ways. When of opti taught by theoretical statisticians, it tends to be presented as a set of mathematical techniques mality principles, together with a collection of various statistical procedures. When useful in establishing the optimality taught by applied decision theorists, it is usually a course in Bayesian analysis, showing how this one decision principle can be applied in various practical situations. The original goal I had in writing this book was to find some middle ground. I wanted a book which discussed the more theoretical ideas and techniques of decision theory, but in a manner that was constantly oriented towards solving statistical problems. In particular, it seemed crucial to include a discussion of when and why the various decision prin ciples should be used, and indeed why decision theory is needed at all. This original goal seemed indicated by my philosophical position at the time, which can best be described as basically neutral. I felt that no one approach to decision theory (or statistics) was clearly superior to the others, and so planned a rather low key and impartial presentation of the competing ideas. In the course of writing the book, however, I turned into a rabid Bayesian. There was no single cause for this conversion; just a gradual realization that things seemed to ultimately make sense only when looked at from the Bayesian viewpoint.
Book Synopsis Discrete & Decision by : Ian Bloomfield
Download or read book Discrete & Decision written by Ian Bloomfield and published by Wakefield Press. This book was released on 2002 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the fourth book in the Complete Advanced Level Mathematics series, which has been developed in consultation with practising teachers for the new AS and A2 specifications. It covers D1, D2 and DC modules for all specifications. The chapters are supported by a 'What You Need to Know' section featuring prerequisite information and concluding summaries of key points for complete understanding. Hints and tips are provided in the margin to aid understanding and provide extra support.Numerous staged and graded examples are given with worked solutions, technique and contextual exercises from actual exam papers. .Applications and Extensions feature at the end of each chapter for coursework and the DC module.
Download or read book Decision Maths 1 written by David Pearson and published by Heinemann. This book was released on 2004 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mathematical Models for Decision Support by : Harvey J. Greenberg
Download or read book Mathematical Models for Decision Support written by Harvey J. Greenberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is quite an onerous task to edit the proceedings of a two week long institute with learned contributors from many parts of the world. All the same, the editorial team has found the process of refereeing and reviewing the contributions worthwhile and completing the volume has proven to be a satisfying task. In setting up the institute we had considered models and methods taken from a number of different disciplines. As a result the whole institute - preparing for it, attending it and editing the proceedings - proved to be an intense learning experience for us. Here I speak on behalf of the committee and the editorial team. By the time the institute took place, the papers were delivered and the delegates exchanged their views, the structure of the topics covered and their relative positioning appeared in a different light. In editing the volume I felt compelled to introduce a new structure in grouping the papers. The contents of this volume are organised in eight main sections set out below: 1 . Abstracts. 2. Review Paper. 3. Models with Multiple Criteria and Single or Multiple Decision Makers. 4. Use of Optimisation Models as Decision Support Tools. 5. Role of Information Systems in Decision Making: Database and Model Management Issues. 6. Methods of Artificial Intelligence in Decision Making: Intelligent Knowledge Based Systems. 7. Representation of Uncertainty in Mathematical Models and Knowledge Based Systems. 8. Mathematical Basis for Constructing Models and Model Validation.
Book Synopsis Edexcel AS and a Level Modular Mathematics Statistics 1 S1 by : Keith Pledger
Download or read book Edexcel AS and a Level Modular Mathematics Statistics 1 S1 written by Keith Pledger and published by Pearson Education Ltd. This book was released on 2008-07 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Including student-friendly worked examples and solutions that lead up to practice questions, this title gives students revision advice, ideas, summaries and exam practice, with hints and tips.
Download or read book Game Theory written by James N. Webb and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: The outstanding feature of this book is that it provides a unified account of three types of decision problem. It covers the basic ideas of decision theory, classical game theory, and evolutionary game theory in one volume. No background knowledge of economics or biology is required as examples have been carefully selected for their accessibility. Detailed solutions to the numerous exercises are provided at the back of the book, making it ideal for self-study. This introduction to game theory is intended as a first course for undergraduate students of mathematics, but it will also interest advanced students or researchers in biology and economics.
Book Synopsis Weapons of Math Destruction by : Cathy O'Neil
Download or read book Weapons of Math Destruction written by Cathy O'Neil and published by Crown Publishing Group (NY). This book was released on 2016 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality,"--NoveList.
Book Synopsis Figuring Out Fluency in Mathematics Teaching and Learning, Grades K-8 by : Jennifer M. Bay-Williams
Download or read book Figuring Out Fluency in Mathematics Teaching and Learning, Grades K-8 written by Jennifer M. Bay-Williams and published by Corwin. This book was released on 2021-03-02 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because fluency practice is not a worksheet. Fluency in mathematics is more than adeptly using basic facts or implementing algorithms. Real fluency involves reasoning and creativity, and it varies by the situation at hand. Figuring Out Fluency in Mathematics Teaching and Learning offers educators the inspiration to develop a deeper understanding of procedural fluency, along with a plethora of pragmatic tools for shifting classrooms toward a fluency approach. In a friendly and accessible style, this hands-on guide empowers educators to support students in acquiring the repertoire of reasoning strategies necessary to becoming versatile and nimble mathematical thinkers. It includes: "Seven Significant Strategies" to teach to students as they work toward procedural fluency. Activities, fluency routines, and games that encourage learning the efficiency, flexibility, and accuracy essential to real fluency. Reflection questions, connections to mathematical standards, and techniques for assessing all components of fluency. Suggestions for engaging families in understanding and supporting fluency. Fluency is more than a toolbox of strategies to choose from; it’s also a matter of equity and access for all learners. Give your students the knowledge and power to become confident mathematical thinkers.
Book Synopsis Advances in Mathematics for Industry 4.0 by : Mangey Ram
Download or read book Advances in Mathematics for Industry 4.0 written by Mangey Ram and published by Academic Press. This book was released on 2020-10-02 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. - Focuses on recent research in mathematics applications for Industry 4.0 - Provides insights on international and transnational scales - Identifies mathematics knowledge gaps for Industry 4.0 - Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research
Download or read book PLC+ written by Douglas Fisher and published by Corwin. This book was released on 2019-05-16 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: What makes a powerful and results-driven Professional Learning Community (PLC)? The answer is collaborative work that expands the emphasis on student learning and leverages individual teacher efficacy into collective teacher efficacy. PLC+: Better Decisions and Greater Impact by Design calls for strong and effective PLCs plus—and that plus is YOU. Until now, the PLC movement has been focused almost exclusively on students and what they were or were not learning. But keeping student learning at the forefront requires that we also recognize the vital role that you play in the equation of teaching and learning. This means that PLCs must take on two additional challenges: maximizing your individual expertise, while harnessing the power of the collaborative expertise you can develop with your peers. PLC+ is grounded in four cross-cutting themes—a focus on equity of access and opportunity, high expectations for all students, a commitment to building individual self-efficacy and the collective efficacy of the professional learning community and effective team activation and facilitation to move from discussion to action. The PLC+ framework supports educators in considering five essential questions as they work together to improve student learning: Where are we going? Where are we now? How do we move learning forward? What did we learn today? Who benefited and who did not benefit? The PLC+ framework leads educators to question practices as well as outcomes. It broadens the focus on student learning to encompass educational equity and teaching efficacy, and, in doing so, it leads educators to plan and implement learning communities that maximize individual expertise while harnessing the power of collaborative efficacy.
Book Synopsis Mathematics of Decision Theory by : Peter C. Fishburn
Download or read book Mathematics of Decision Theory written by Peter C. Fishburn and published by . This book was released on 1972 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: