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Author : Robin Milner
Publisher : MIT Press
Page : 132 pages
File Size : 41,8 Mb
Release : 1997
Category : Computers
ISBN : 0262631814
Software -- Programming Languages.
Author : Emden R. Gansner,John H. Reppy
Publisher : Cambridge University Press
Page : 486 pages
File Size : 51,7 Mb
Release : 2004-04-05
Category : Computers
ISBN : 1139451405
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 : Åke Wikström
Publisher : Unknown
Page : 472 pages
File Size : 43,7 Mb
Release : 1987
Category : Computers
ISBN : UOM:39015026520075
Author : Michael R. Hansen,Hans Rischel
Publisher : Addison-Wesley
Page : 390 pages
File Size : 42,9 Mb
Release : 1999
Category : Computer programming
ISBN : UCSD:31822027764224
Based on Hanson and Rischel's introductory programming course in the Informatics Programme at the Technical University of Denmark, Using Standard ML (Meta Language) throughout, they bypass theory and customized or efficient implementations to focus on understanding the process of programming and program design. Annotation copyrighted by Book News, Inc., Portland, OR
Author : Christoph Molnar
Publisher : Lulu.com
Page : 320 pages
File Size : 46,9 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 9780244768522
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Author : Greg Michaelson
Publisher : Courier Corporation
Page : 336 pages
File Size : 45,8 Mb
Release : 2013-04-10
Category : Mathematics
ISBN : 9780486280295
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 : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Cambridge University Press
Page : 391 pages
File Size : 47,6 Mb
Release : 2020-04-23
Category : Computers
ISBN : 9781108470049
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
Author : Kent D. Lee
Publisher : Springer
Page : 354 pages
File Size : 41,5 Mb
Release : 2015-01-19
Category : Computers
ISBN : 9783319133140
This clearly written textbook introduces the reader to the three styles of programming, examining object-oriented/imperative, functional, and logic programming. The focus of the text moves from highly prescriptive languages to very descriptive languages, demonstrating the many and varied ways in which we can think about programming. Designed for interactive learning both inside and outside of the classroom, each programming paradigm is highlighted through the implementation of a non-trivial programming language, demonstrating when each language may be appropriate for a given problem. Features: includes review questions and solved practice exercises, with supplementary code and support files available from an associated website; provides the foundations for understanding how the syntax of a language is formally defined by a grammar; examines assembly language programming using CoCo; introduces C++, Standard ML, and Prolog; describes the development of a type inference system for the language Small.
Author : Peter Sestoft
Publisher : Springer
Page : 341 pages
File Size : 55,5 Mb
Release : 2017-08-31
Category : Computers
ISBN : 9783319607894
This book uses a functional programming language (F#) as a metalanguage to present all concepts and examples, and thus has an operational flavour, enabling practical experiments and exercises. It includes basic concepts such as abstract syntax, interpretation, stack machines, compilation, type checking, garbage collection, and real machine code. Also included are more advanced topics on polymorphic types, type inference using unification, co- and contravariant types, continuations, and backwards code generation with on-the-fly peephole optimization. This second edition includes two new chapters. One describes compilation and type checking of a full functional language, tying together the previous chapters. The other describes how to compile a C subset to real (x86) hardware, as a smooth extension of the previously presented compilers.The examples present several interpreters and compilers for toy languages, including compilers for a small but usable subset of C, abstract machines, a garbage collector, and ML-style polymorphic type inference. Each chapter has exercises. Programming Language Concepts covers practical construction of lexers and parsers, but not regular expressions, automata and grammars, which are well covered already. It discusses the design and technology of Java and C# to strengthen students’ understanding of these widely used languages.
Author : Jeffrey D. Ullman
Publisher : Pearson
Page : 383 pages
File Size : 49,7 Mb
Release : 1998-01
Category : Computers
ISBN : 0137903871
This highly accessible introduction to the fundamentals of ML is presented by computer science educator and author, Jeffrey D. Ullman. The primary change in the Second Edition is that it has been thoroughly revised and reorganized to conform to the new language standard called ML97. This is the first book that offers both an accurate step-by-step tutorial to ML programming and a comprehensive reference to advanced features. It is the only book that focuses on the popular SML/NJ implementation. The material is arranged for use in sophomore through graduate level classes or for self-study. This text assumes no previous knowledge of ML or functional programming, and can be used to teach ML as a first programming language. It is also an excellent supplement or reference for programming language concepts, functional programming, or compiler courses.
Author : Stefan Sokolowski,Stefan Sokołowski
Publisher : Chapman & Hall
Page : 260 pages
File Size : 47,8 Mb
Release : 1991
Category : Computers
ISBN : 0412392402
Author : Chris Reade
Publisher : Addison Wesley Publishing Company
Page : 624 pages
File Size : 45,9 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015047355287
Software -- Programming Techniques.
Author : John H. Reppy
Publisher : Cambridge University Press
Page : 328 pages
File Size : 46,6 Mb
Release : 1999-08-13
Category : Computers
ISBN : 9780521480895
A 'how-to' book for programmers and researchers interested in practical applications of Concurrent ML.
Author : Niall Richard Murphy,Betsy Beyer,Chris Jones,Jennifer Petoff
Publisher : "O'Reilly Media, Inc."
Page : 552 pages
File Size : 42,6 Mb
Release : 2016-03-23
Category : Electronic
ISBN : 9781491951170
The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use
Author : Robert Harper,Robin Milner,Mads Tofte
Publisher : Unknown
Page : 100 pages
File Size : 50,9 Mb
Release : 1989
Category : ML (Computer program language)
ISBN : OCLC:222699523
