Skip to main content

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...


Trends in Functional Programming eBook Series

Showing 1 - 12 of 12 results
Skip side bar filters
  • Trends in Functional Programming Volume 6

    Edited by Marko Van Eekelen ...
    Series series Trends in Functional Programming
    This book presents latest research developments in the area of functional programming. The contributions in this volume cover a wide range of topics from theory, formal aspects of functional programming, transformational and generic programming to type checking and designing new classes of data types.Not all papers in this book belong to the category of research papers. Also, the categories of ... Read more

    PHP2,302.59

People who read this also enjoyed

  • Building Machine Learning Systems with Python

    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and ... Read more

    PHP1,616.09 or Free with Kobo Plus

  • Lisp in Small Pieces

    Translated by Kathleen Callaway ...
    This is a comprehensive account of the semantics and the implementation of the whole Lisp family of languages, namely Lisp, Scheme and related dialects. It describes 11 interpreters and 2 compilers, including very recent techniques of interpretation and compilation. The book is in two parts. The first starts from a simple evaluation function and enriches it with multiple name spaces, continuations ... Read more

    PHP6,033.99

  • Natural Language Annotation for Machine Learning

    A Guide to Corpus-Building for Applications

    Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started ... Read more

    PHP1,340.39

  • Information Modeling and Relational Databases

    Information Modeling and Relational Databases, Second Edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of ... Read more

    PHP4,662.69

  • Introduction to Information Retrieval

    Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the ... Read more

    PHP3,800.99

  • Software Language Engineering

    Creating Domain-Specific Languages Using Metamodels

    by Anneke Kleppe ...
    Software practitioners are rapidly discovering the immense value of Domain-Specific Languages (DSLs) in solving problems within clearly definable problem domains. Developers are applying DSLs to improve productivity and quality in a wide range of areas, such as finance, combat simulation, macro scripting, image generation, and more. But until now, there have been few practical resources that ... Read more

    PHP1,192.99

  • Why Programs Fail

    A Guide to Systematic Debugging

    Why Programs Fail: A Guide to Systematic Debugging is proof that debugging has graduated from a black art to a systematic discipline. It demystifies one of the toughest aspects of software programming, showing clearly how to discover what caused software failures, and fix them with minimal muss and fuss. The fully updated second edition includes 100+ pages of new material, including new chapters ... Read more

    PHP3,278.19

  • The Text Mining Handbook

    Advanced Approaches in Analyzing Unstructured Data

    Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of ... Read more

    PHP5,178.79

  • Mastering Text Mining with R

    Extract and recognize your text data

    by KUMAR ASHISH ...
    Master text-taming techniques and build effective text-processing applications with RKey Features\[\*\] Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide\[\*\] Gain in-depth understanding of the text mining process with lucid implementation in the R language\[\*\] Example-rich guide that lets you gain high-quality information from text dataBook ... Read more

    PHP1,690.19 or Free with Kobo Plus

  • Principles of Data Integration

    Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own ... Read more

    PHP4,287.69

  • Model Driven Engineering and Ontology Development

    Series series Computer Science (R0)
    Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and ... Read more

    PHP5,528.19