Elements of ML Programming PDF Download
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Author: Jeffrey D. Ullman
Publisher: Pearson
ISBN: 9780137903870
Category : Computers
Languages : en
Pages : 383
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Book Description
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: Jeffrey D. Ullman
Publisher: Pearson
ISBN: 9780137903870
Category : Computers
Languages : en
Pages : 383
Get Book Here
Book Description
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: Chris Reade
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 624
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Book Description
Software -- Programming Techniques.
Author: Alexander Stepanov
Publisher: Lulu.com
ISBN: 0578222140
Category : Computers
Languages : en
Pages : 282
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Book Description
Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. This book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software.
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: Michael R. Hansen
Publisher: Addison-Wesley
ISBN:
Category : Computer programming
Languages : en
Pages : 390
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Book Description
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: Robin Milner
Publisher: MIT Press
ISBN: 9780262631815
Category : Computers
Languages : en
Pages : 132
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Book Description
Software -- Programming Languages.
Author: Raphael A. Finkel
Publisher: Addison Wesley
ISBN:
Category : Computers
Languages : en
Pages : 504
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Book Description
0805311912B04062001
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: Adnan Aziz
Publisher: EPI
ISBN: 1479274836
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
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Book Description
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.
