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“chris kuo”

Showing 1 - 12 of 12 results for “chris kuo”
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  • The Handbook of NLP with Gensim

    Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data

    by Chris Kuo ...
    Elevate your natural language processing skills with Gensim and become proficient in handling a wide range of NLP tasks and projectsKey FeaturesAdvance your NLP skills with this comprehensive guide covering detailed explanations and code practicesBuild real-world topical modeling pipelines and fine-tune hyperparameters to deliver optimal resultsAdhere to the real-world industrial applications of ... Read more

    $37.79 USD or Free with Kobo Plus

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  • Data Analysis with Open Source Tools

    A Hands-On Guide for Programmers and Data Scientists

    by Philipp K. Janert ...
    Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ... Read more

    $23.09 USD

  • 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

  • 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

  • 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

  • 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

  • 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

    $40.99 USD

  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    by Nithin Buduma, Nikhil Buduma, Joe Papa ...
    We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition ... Read more

    $48.99 USD

  • TensorFlow for Deep Learning

    From Linear Regression to Reinforcement Learning

    by Bharath Ramsundar, Reza Bosagh Zadeh ...
    Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the ... Read more

    $43.99 USD

  • Python: Deeper Insights into Machine Learning

    by Sebastian Raschka, David Julian, John Hearty ...
    Leverage benefits of machine learning techniques using PythonAbout This BookImprove and optimise machine learning systems using effective strategies.Develop a strategy to deal with a large amount of data.Use of Python code for implementing a range of machine learning algorithms and techniques.Who This Book Is ForThis title is for data scientist and researchers who are already into the field of ... Read more

    $64.99 USD or Free with Kobo Plus

  • 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

  • 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