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“scott v burger”

Showing 1 - 12 of 12 results for “scott v burger”
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  • Introduction to Machine Learning with R

    Rigorous Mathematical Analysis

    by Scott V. Burger ...
    Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.Finally, you ... Read more

    $34.59 USD

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  • Doing Data Science

    Straight Talk from the Frontline

    by Cathy O'Neil, Rachel Schutt ...
    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... Read more

    $28.09 USD

  • The Evolution of Data Products

    by Mike Loukides ...
    This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real changes in our lives will come from products and ... Read more

    Free

  • Deep Learning

    A Practitioner's Approach

    by Josh Patterson, Adam Gibson ...
    Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning ... Read more

    $36.79 USD

  • Learning TensorFlow

    A Guide to Building Deep Learning Systems

    by Tom Hope, Yehezkel S. Resheff, Itay Lieder ...
    Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive ... Read more

    $36.79 USD

  • Learning R

    A Step-by-Step Function Guide to Data Analysis

    by Richard Cotton ...
    Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything ... Read more

    $33.89 USD

  • SQL in a Nutshell

    A Desktop Quick Reference

    by Kevin Kline, Daniel Kline, Brand Hunt ...
    SQL in a Nutshell applies the eminently useful "Nutshell" format to Structured Query Language (SQL), the elegant--but complex--descriptive language that is used to create and manipulate large stores of data. For SQL programmers, analysts, and database administrators, the new second edition of SQL in a Nutshell is the essential date language reference for the world's top SQL database products. SQL ... Read more

    $25.99 USD

  • Spark: The Definitive Guide

    Big Data Processing Made Simple

    by Bill Chambers, Matei Zaharia ...
    Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ? ... Read more

    $43.19 USD

  • Advanced Analytics with Spark

    Patterns for Learning from Data at Scale

    by Sean Owen, Josh Wills, Sandy Ryza, Uri Laserson ...
    In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other ... Read more

    $36.79 USD

  • Hands-On Data Science and Python Machine Learning

    Perform data mining and machine learning efficiently using Python and Spark

    by Frank Kane ...
    This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.Key FeaturesTake your first steps in the world of data science by understanding the tools and techniques of data analysisTrain efficient Machine Learning models in Python using the supervised and unsupervised learning ... Read more

    $34.19 USD or Free with Kobo Plus

  • Learning Social Media Analytics with R

    Transform data from social media platforms into actionable business insights

    by Raghav Bali, Dipanjan Sarkar, Tushar Sharma, Karthik Ganapathy ...
    Tap into the realm of social media and unleash the power of analytics for data-driven insights using RKey Features\[\*\] A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data\[\*\] Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms.\[\*\ ... Read more

    $41.39 USD or Free with Kobo Plus

  • Data Analytics

    Models and Algorithms for Intelligent Data Analysis

    by Thomas A. Runkler ...
    Series series Computer Science (R0)
    This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University ... Read more

    $40.49 USD