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222910828
Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World
Item #:
222910828
XAF 40032
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Product Details
| 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) |
Product Description
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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Question:
What programming tools are covered in this guide?
Answer: The guide covers tools like GitHub and Anaconda. -
Question:
Is sample code included?
Answer: Yes, the book includes sample code for download. -
Question:
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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XAF 40032
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Features & Benefits
- 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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