Read and Download eBook Full
Author: Richard Parsons
Publisher: Coordination Group Publication
Published: 2012-05-01
Total Pages: 204
ISBN-13: 9781847628060
DOWNLOAD EBOOKAS/A Level Maths for Edexcel - Decision Maths 1: Student Book
Author: David Pearson
Publisher: Heinemann
Published: 2004
Total Pages: 228
ISBN-13: 9780435513351
DOWNLOAD EBOOKAuthor: John Hebborn
Publisher: Heinemann
Published: 2001
Total Pages: 76
ISBN-13: 9780435511197
DOWNLOAD EBOOKRevision 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.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Published: 2020-04-23
Total Pages: 392
ISBN-13: 1108569323
DOWNLOAD EBOOKThe 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.
Author: Ian Bloomfield
Publisher: Wakefield Press
Published: 2002
Total Pages: 392
ISBN-13: 9780748764563
DOWNLOAD EBOOKThis 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.
Author: George Bernard Dantzig
Publisher: American Mathematical Soc.
Published: 1968-12-31
Total Pages: 444
ISBN-13: 9780821896815
DOWNLOAD EBOOKAuthor: Keith Pledger
Publisher: Pearson Education Ltd
Published: 2008-07
Total Pages: 220
ISBN-13: 9780435519124
DOWNLOAD EBOOKIncluding 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.
Author: Cathy O'Neil
Publisher: Crown Publishing Group (NY)
Published: 2016
Total Pages: 274
ISBN-13: 0553418815
DOWNLOAD EBOOK"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.
Author: Ben Orlin
Publisher: Black Dog & Leventhal
Published: 2018-09-18
Total Pages: 556
ISBN-13: 0316509027
DOWNLOAD EBOOKA hilarious reeducation in mathematics-full of joy, jokes, and stick figures-that sheds light on the countless practical and wonderful ways that math structures and shapes our world. In Math With Bad Drawings, Ben Orlin reveals to us what math actually is; its myriad uses, its strange symbols, and the wild leaps of logic and faith that define the usually impenetrable work of the mathematician. Truth and knowledge come in multiple forms: colorful drawings, encouraging jokes, and the stories and insights of an empathetic teacher who believes that math should belong to everyone. Orlin shows us how to think like a mathematician by teaching us a brand-new game of tic-tac-toe, how to understand an economic crises by rolling a pair of dice, and the mathematical headache that ensues when attempting to build a spherical Death Star. Every discussion in the book is illustrated with Orlin's trademark "bad drawings," which convey his message and insights with perfect pitch and clarity. With 24 chapters covering topics from the electoral college to human genetics to the reasons not to trust statistics, Math with Bad Drawings is a life-changing book for the math-estranged and math-enamored alike.
Author: Harvey J. Greenberg
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 740
ISBN-13: 3642835554
DOWNLOAD EBOOKIt 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.
