Download or read book Elementary Standard ML written by G Michaelson and published by CRC Press. This book was released on 2018-10-08 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Elementary Standard ML written by G Michaelson and published by CRC Press. This book was released on 2004-01-10 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Definition of Standard ML written by Robin Milner and published by MIT Press. This book was released on 1997 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Languages.
Download or read book Functional Programming Using Standard ML written by Åke Wikström and published by . This book was released on 1987 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Programming with Standard ML written by Colin Myers and published by . This book was released on 1993 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Languages.
Download or read book ML for the Working Programmer written by Lawrence C. Paulson and published by . This book was released on 1992 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of a successful text treats modules in more depth, and covers the revision of ML language.
Download or read book An Introduction to Functional Programming Through Lambda Calculus written by Greg Michaelson and published by Courier Corporation. This book was released on 2013-04-10 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Lectures on Concurrency and Petri Nets written by Jörg Desel and published by Springer Science & Business Media. This book was released on 2004-06-14 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial volume originates from the 4th Advanced Course on Petri Nets, ACPN 2003, held in Eichstätt, Germany in September 2003. In addition to lectures given at ACPN 2003, additional chapters have been commissioned to give a well-balanced presentation of the state of the art in the area. This book will be useful as both a reference for those working in the area as well as a study book for the reader who is interested in an up-to-date overview of research and development in concurrent and distributed systems; of course, readers specifically interested in theoretical or applicational aspects of Petri nets will appreciate the book as well.
Download or read book Theories of Programming Languages written by John C. Reynolds and published by Cambridge University Press. This book was released on 1998-10-13 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1998, this textbook is a broad but rigourous survey of the theoretical basis for the design, definition and implementation of programming languages and of systems for specifying and proving programme behaviour. Both imperative and functional programming are covered, as well as the ways of integrating these aspects into more general languages. Recognising a unity of technique beneath the diversity of research in programming languages, the author presents an integrated treatment of the basic principles of the subject. He identifies the relatively small number of concepts, such as compositional semantics, binding structure, domains, transition systems and inference rules, that serve as the foundation of the field. Assuming only knowledge of elementary programming and mathematics, this text is perfect for advanced undergraduate and beginning graduate courses in programming language theory and also will appeal to researchers and professionals in designing or implementing computer languages.
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.
Download or read book The Standard ML Basis Library written by Emden R. Gansner and published by Cambridge University Press. This book was released on 2004-04-05 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Modern Programming Languages written by Adam Brooks Webber and published by Franklin Beedle & Associates. This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 ......
Download or read book Improving Assessment through Student Involvement written by Nancy Falchikov and published by Routledge. This book was released on 2013-04-15 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The assessment of students an activity central to the role of any professional in further and higher education, and is an area that is the subject of constant innovation and debate. This book provides a scholarly account of the many facets of assessment, with a particular focus on student involvement. Peer and self-assessment are powerful assessment tools to add to the existing tutor-based methods of assessment and feedback, and this book is a comprehensive guide to the the methods and issues involved. Practical and accessible in style, yet grounded in research and rich in evidence-based material, Improving Assessment Through Student Involvement will be valued by all FE or HE professionals wanting to enhance both the effectiveness and quality of their assessment methods.
Download or read book Functional Programming Languages in Education written by Pieter Hartel and published by Springer. This book was released on 1995-11-23 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Functional Programming Languages in Education, FPLE '95, held in Nijmegen, The Netherlands in December 1995. The 17 revised full papers included represent the current state-of-the-art in using functional languages in computer science education. Most papers report teaching experience in some detail, however, the emphasis is generally on technical issues. Functional languages are increasingly used for teaching in a number of important areas such as algorithms, data structures, compiler construction, computer architecture, computer graphics, mathematics, problem solving and the semantics of programming languages.
Download or read book Building Number Sense Through the Common Core written by Bradley S. Witzel and published by Corwin Press. This book was released on 2012-11-08 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a lasting foundation for math proficiency right from the start The "math" is on the wall: unless our youngest mathematicians have a solid understanding of number sense, they have little hope of mastering the higher math that lies ahead. This essential resource helps you identify where K-3 students are likely to struggle, and then intervene with smart, targeted instruction. The authors provide: Teaching strategies that build number sense skills, including quantity and cardinality, fact fluency, and more Adaptations for students with specific needs, based on an RTI approach Guidance on measuring number sense through assessments User-friendly charts, tables, and sample math problems
Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
