Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World (Rheinwerk Computing) New Edition
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Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World (Rheinwerk Computing) New Edition
With sample code for download, this book gives you everything needed to implement machine learning models that solve real business problems!
Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World (Rheinwerk Computing) New Edition
Elementas #: 222910828

Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World

Elementas #: 222910828

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With sample code for download, this book gives you everything needed to implement machine learning models that solve real business problems!
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Shop Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World (Rheinwerk Computing) New Edition online at a best price in Lithuania. 1493227580
Publisher Rheinwerk Computing
Publication date February 25, 2026
Edition New
Language English
Print length 440 pages
ISBN-10 1493227580
ISBN-13 978-1493227587
Item Weight 1.7 pounds (770 grams)
Dimensions 10 x 7 x 1.25 inches (25.4 x 17.8 x 3.2 cm)

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Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World (Rheinwerk Computing) New Edition

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  • klausimas: What programming tools are covered in this guide?

    Answer: The guide covers tools like GitHub and Anaconda.
  • klausimas: Is sample code included?

    Answer: Yes, the book includes sample code for download.
  • klausimas: Will I learn how to evaluate the performance of my model?

    Answer: Absolutely, the guide includes methods for evaluating model performance and long-term monitoring.

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Savybės ir privalumai

  • Practical introduction to machine learning with real-world use cases.
  • Learn to select and implement the right model for specific business problems.
  • Gain expertise in data preparation and cleaning techniques.
  • Master model selection using a structured decision framework.
  • Evaluate and improve model quality through validation metrics and iteration.
  • Implement and monitor models to measure their business impact over time.

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