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Author: Malcolm Mann
Publisher: Macmillan Elt
ISBN: 9780230035416
Category : Juvenile Nonfiction
Languages : en
Pages : 264
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Book Description
Destination C1 & C2 : Grammar and Vocabulary is the ideal grammar and vocabulary practice book for all advanced students preparing to take any C1 & C2 level exam: e.g. Cambridge CAE and Cambridge CPE.
Author: Malcolm Mann
Publisher: Macmillan Elt
ISBN: 9780230035416
Category : Juvenile Nonfiction
Languages : en
Pages : 264
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Book Description
Destination C1 & C2 : Grammar and Vocabulary is the ideal grammar and vocabulary practice book for all advanced students preparing to take any C1 & C2 level exam: e.g. Cambridge CAE and Cambridge CPE.
Author: Malcolm Mann
Publisher:
ISBN: 9783190229550
Category :
Languages : en
Pages : 256
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Book Description
Author: Malcolm Mann
Publisher: MacMillan
ISBN: 9780230035393
Category : Juvenile Nonfiction
Languages : en
Pages : 212
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Book Description
Destination B2: Grammar and Vocabulary is the ideal grammar and vocabulary practice book for all students preparing to take any B2 level exam: e.g. Cambridge FCE.
Author: Malcolm Mann
Publisher:
ISBN: 9783190729555
Category :
Languages : en
Pages : 264
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Book Description
Author: Malcolm Mann
Publisher: Edumond
ISBN: 9781405017510
Category : Foreign Language Study
Languages : en
Pages : 160
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Book Description
The features of this volume include: a systematic approach to word formation; a focus on grammar, providing essential FC grammar practice; a list of collocations and patterns; and a phrasal verb reference section with definitions from the Macmillan English Dictionary for Advanced Learners.
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Marco Dorigo
Publisher: MIT Press
ISBN: 9780262042192
Category : Computers
Languages : en
Pages : 324
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Book Description
An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.
Author: Malcolm Mann
Publisher:
ISBN: 9781380098160
Category :
Languages : en
Pages : 0
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Book Description
Author: Felicity O'Dell
Publisher:
ISBN: 9783125346055
Category : Collocation (Linguistics)
Languages : en
Pages : 188
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Book Description
Collocations are combinations of words which frequently appear together. Using them makes your English sound more natural.
Author: Albert Bowkett
Publisher:
ISBN: 9781549678509
Category :
Languages : en
Pages : 104
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Book Description
Gain the confidence you need to excel in English speaking exams and other formal speaking situations! In five short units, experienced EFL teacher Albert Bowkett presents innovative and effective techniques and exercises related to core speaking elements such as pronunciation, picture-related exam tasks, collaborative exam tasks, improvised conversation, presentations, and interviews. What makes this book special is its application of logic and critical thinking skills, as well as organisational and performance techniques. This goes beyond simply 'learning phrases' (intermediate level) and provides the advanced level EFL speaker with proven tools and strategies for passing speaking exams and producing confident, original and dynamic answers in all formal situations. Includes FREE bonus chapter: Unit 1 from ''C1 Vocabulary: 100 Exam Keywords for Advanced English''
