Title
Elements of ML Programming, ML97 Edition,New
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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, stepbystep 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 selfstudy or class discussion.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the primary focus of 'Elements of ML Programming, ML97 Edition'? A: The book primarily focuses on introducing the fundamentals of ML programming, making it suitable for sophomore through graduate-level courses.
- Q: Who is the author of this book? A: The author is Jeffrey Ullman, a renowned computer science educator and researcher.
- Q: Is prior knowledge of ML or functional programming required to understand this book? A: No, the book assumes no previous knowledge of ML or functional programming, making it accessible for beginners.
- Q: What are some key features of the book? A: Key features include a comprehensive summary of the ML 97 language, program examples for various applications, and a flexible organization suitable for different course levels.
- Q: How many pages does the book have? A: The book contains 400 pages.
- Q: What type of binding does 'Elements of ML Programming, ML97 Edition' have? A: The book is available in paperback binding.
- Q: When was the second edition of the book published? A: The second edition was published on January 1, 1998.
- Q: Can this book be used for self-study? A: Yes, the book is suitable for self-study as well as for class discussions.
- Q: Does the book cover advanced ML concepts? A: Yes, it offers a complete explanation of advanced features in ML programming.
- Q: What topics are included in the book's curriculum? A: The book covers standard structures and problems such as hashing, binary trees, linear equations, numerical integration, and sorting.