Elements of ML Programming, ML97 Edition

Jeffrey Ullman

ISBN 10: 0137903871 / ISBN 13: 9780137903870

Published by Pearson Okt 2024, 2024

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Written by a well-known computer science education and researcher. No previous knowledge of ML or functional programming is assumed. KEY TOPICS: This is the first book that offers BOTH a highly accessible, step-by-step introductory tutorial on ML programming and a complete reference to, and explanation of, advanced features. The author uses a wide variety of digestible program examples to bring the reader along at a reasonable pace. More sophisticated programs and advanced concept topics balance out a book that is usable in a number of courses and settings for either self-study or class discussion.Financial Times Prent., St.-Martin-Straße 82, 81541 München 400 pp. Englisch.

Seller Inventory # 9780137903870

Bibliographic Details

• Title: Elements of ML Programming, ML97 Edition
• Publisher: Pearson Okt 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 0137903871
• ISBN 13: 9780137903870
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 235W x 178H x 22D millimeters 235 millimeters width by 178 millimeters height by 22 millimeters depth
• Weight: 694 grams

About this title

Synopsis

For sophomore through graduate level courses covering an introduction to the fundamentals of ML programming or as a supplement for programming languages, functional programming, or compiler courses.

Written by renowned computer science educator and researcher Jeffrey Ullman, this text assumes no previous knowledge of ML or functional programming. This second edition has been heavily revised and updated using ML 97. This is the first book that offers BOTH a highly accessible, step-by-step introductory tutorial on ML programming and a complete explanation of advanced features. The author uses a wide variety of program examples to show how ML can be used in a variety of applications. More sophisticated programs and advanced concepts make this book usable in a number of courses for self-study or class discussion.

From the Back Cover

Written by a well-known computer science education and researcher. No previous knowledge of ML or functional programming is assumed. This is the first book that offers BOTH a highly accessible, step-by-step introductory tutorial on ML programming and a complete reference to, and explanation of, advanced features. The author uses a wide variety of digestible program examples to bring the reader along at a reasonable pace. More sophisticated programs and advanced concept topics balance out a book that is usable in a number of courses and settings for either self-study or class discussion.