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“benjamin bengfort”

Showing 1 - 12 of 12 results for “benjamin bengfort”
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  • Applied Text Analysis with Python

    Enabling Language-Aware Data Products with Machine Learning

    by Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda ...
    From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This ... Read more

    $41.99 USD

  • Data Analytics with Hadoop

    An Introduction for Data Scientists

    by Benjamin Bengfort, Jenny Kim ...
    Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data ... Read more

    $21.59 USD

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  • Database Design: Know It All

    Know It All

    by Toby J. Teorey, Stephen Buxton, Lowell Fryman, Terry Halpin, Jan L. Harrington, William H. Inmon, Sam S. Lightstone, Jim Melton, Tony Morgan, Thomas P. Nadeau, Bonnie O'Neil, Elizabeth O'Neil, Patrick O'Neil, Markus Schneider, Graeme Simsion, Graham Witt, Ralf Hartmut Güting ...
    This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects ... Read more

    $73.79 USD

  • Artificial Intelligence with Python

    A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

    by Prateek Joshi ...
    Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to ... Read more

    $41.39 USD or Free with Kobo Plus

  • Building Machine Learning Systems with Python

    by Willi Richert, Luis Pedro Coelho ...
    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

    $27.89 USD or Free with Kobo Plus

  • Python: Real-World Data Science

    Real-World Data Science

    by Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka ...
    Unleash the power of Python and its robust data science capabilitiesKey FeaturesUnleash the power of Python 3 objectsLearn to use powerful Python libraries for effective data processing and analysisHarness the power of Python to analyze data and create insightful predictive modelsUnlock deeper insights into machine learning with this vital guide to cutting-edge predictive analyticsBook ... Read more

    $68.99 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

  • Deep Learning with Keras

    Implementing deep learning models and neural networks with the power of Python

    by Antonio Gulli, Sujit Pal ...
    Get to grips with the basics of Keras to implement fast and efficient deep-learning modelsKey FeaturesImplement various deep learning algorithms in Keras and see how deep learning can be used in gamesSee how various deep learning models and practical use-cases can be implemented using KerasA practical, hands-on guide with real-world examples to give you a strong foundation in KerasBook ... Read more

    $41.39 USD or Free with Kobo Plus

  • Python: Real World Machine Learning

    by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti ...
    Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to ... Read more

    $64.79 USD or Free with Kobo Plus

  • Natural Language Annotation for Machine Learning

    A Guide to Corpus-Building for Applications

    by James Pustejovsky, Amber Stubbs ...
    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

    $23.99 USD

  • How to Design Programs, second edition

    An Introduction to Programming and Computing

    by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi ...
    A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming.This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines ... Read more

    $41.99 USD

  • 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

    $18.99 USD