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Author: G Michaelson
Publisher: CRC Press
ISBN: 0203116593
Category : Computers
Languages : en
Pages : 310
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Book Description
Standard ML has become the principal teaching language for introducing functional programming. This textbook places emphasis on teaching the essential features of ML, with extensive practical examples, and is intended for undergraduates studying functional programming with Standard ML.
Author: G Michaelson
Publisher: CRC Press
ISBN: 0203116593
Category : Computers
Languages : en
Pages : 310
Get Book Here
Book Description
Standard ML has become the principal teaching language for introducing functional programming. This textbook places emphasis on teaching the essential features of ML, with extensive practical examples, and is intended for undergraduates studying functional programming with Standard ML.
Author: G Michaelson
Publisher: CRC Press
ISBN: 1482286947
Category : Computers
Languages : en
Pages : 310
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Book Description
This book is concerned with programming in the language Standard ML (SML), that is using SML to make precise models for computer animation. It draws on the distinction between programming in the small and in the large, plumping exclusively for the former.
Author: Robin Milner
Publisher: MIT Press
ISBN: 9780262631815
Category : Computers
Languages : en
Pages : 132
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Book Description
Software -- Programming Languages.
Author: Åke Wikström
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 472
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Book Description
Author: Greg Michaelson
Publisher: Courier Corporation
ISBN: 0486280292
Category : Mathematics
Languages : en
Pages : 338
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Book Description
Well-respected text for computer science students provides an accessible introduction to functional programming. Cogent examples illuminate the central ideas, and numerous exercises offer reinforcement. Includes solutions. 1989 edition.
Author: Lawrence C. Paulson
Publisher:
ISBN: 9780521422253
Category : Computers
Languages : en
Pages : 429
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Book Description
This new edition of a successful text treats modules in more depth, and covers the revision of ML language.
Author: Emden R. Gansner
Publisher: Cambridge University Press
ISBN: 9781139451406
Category : Computers
Languages : en
Pages : 486
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Book Description
The book provides a description of the Standard ML (SML) Basis Library, the standard library for the SML language. For programmers using SML, it provides a complete description of the modules, types and functions composing the library, which is supported by all conforming implementations of the language. The book serves as a programmer's reference, providing manual pages with concise descriptions. In addition, it presents the principles and rationales used in designing the library, and relates these to idioms and examples for using the library. A particular emphasis of the library is to encourage the use of SML in serious system programming. Major features of the library include I/O, a large collection of primitive types, support for internationalization, and a portable operating system interface. This manual will be an indispensable reference for students, professional programmers, and language designers.
Author: Brett Lantz
Publisher: Packt Publishing Ltd
ISBN: 1782162151
Category : Computers
Languages : en
Pages : 587
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Book Description
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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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.
Author: Adam Brooks Webber
Publisher: Franklin Beedle & Associates
ISBN: 9781887902762
Category : Programming languages (Electronic computers)
Languages : en
Pages : 0
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Book Description
Typical undergraduate CS/CE majors have a practical orientation: they study computing because they like programming and are good at it. This book has strong appeal to this core student group. There is more than enough material for a semester-long course. The challenge for a course in programming language concepts is to help practical ......
