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Engineering (R0) eBook Series

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  • Tag Counting and Monitoring in Large-Scale RFID Systems

    Theoretical Foundations and Algorithm Design

    by Jihong Yu, Lin Chen ...
    Series series Engineering (R0)
    This book provides a comprehensive treatment of the theoretical foundation and algorithmic tools necessary in the design of efficient tag counting and monitoring algorithms in emerging RFID systems. The book delivers an in-depth analysis on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: Stability analysis of the frame slotted ... Read more

    $49.49 USD

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  • Data Mining: Concepts and Techniques

    by Jiawei Han, Micheline Kamber, Jian Pei ...
    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and ... Read more

    $67.49 USD

  • Data Mining Techniques

    by Arun K.Pujari ...
    Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. The book contains the algorithmic details of different techniques such as A priori, Pincer-search, Dynamic Itemset Counting, FP-Tree growth, SLIQ ... Read more

    $14.00 USD

  • Data Science and Big Data Analytics

    Discovering, Analyzing, Visualizing and Presenting Data

    Edited by EMC Education Services ...
    Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate ... Read more

    $53.00 USD

  • Text Data Management and Analysis

    A Practical Introduction to Information Retrieval and Text Mining

    by ChengXiang Zhai, Sean Massung ...
    Series series ACM Books
    Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. ... Read more

    $40.49 USD

  • Feature Engineering for Machine Learning

    Principles and Techniques for Data Scientists

    by Alice Zheng, Amanda Casari ...
    Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... Read more

    $36.79 USD

  • Introduction to Data Science

    A Python Approach to Concepts, Techniques and Applications

    by Petia Radeva, Oriol Pujol, Jordi Vitrià, Sergio Escalera, Santi Seguí, Francesc Dantí, Laura Igual, Lluís Garrido, Eloi Puertas ...
    Series series Computer Science (R0)
    This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or ... Read more

    $44.99 USD

  • Python Machine Learning By Example

    The easiest way to get into machine learning

    by Yuxi (Hayden) Liu, Ivan Idris ...
    Take tiny steps to enter the big world of data science through this interesting guideKey Features\[\*\] Learn the fundamentals of machine learning and build your own intelligent applications\[\*\] Master the art of building your own machine learning systems with this example-based practical guide\[\*\] Work with important classification and regression algorithms and other machine learning ... Read more

    $41.39 USD or Free with Kobo Plus

  • Machine Learning Algorithms

    A reference guide to popular algorithms for data science and machine learning

    by Giuseppe Bonaccorso ...
    Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

    $41.39 USD or Free with Kobo Plus

  • Thoughtful Machine Learning

    A Test-Driven Approach

    by Matthew Kirk ...
    Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks.Machine-learning algorithms often ... Read more

    $18.79 USD

  • 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

    $34.19 USD or Free with Kobo Plus

  • Introduction to Information Retrieval

    by Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze ...
    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

    $65.59 USD