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Learn To Build Interpretable High Performance Models With Hands-On Real-World Projects

Jese Leos
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Published in Interpretable Machine Learning With Python: Learn To Build Interpretable High Performance Models With Hands On Real World Examples
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Interpretable Machine Learning with Python: Learn to build interpretable high performance models with hands on real world examples
Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples
by Therese A. Rando

4.6 out of 5

Language : English
File size : 23465 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 736 pages

Are you tired of building machine learning models that are black boxes? Do you want to be able to understand how your models make predictions and explain them to others? If so, then this book is for you.

In this book, you will learn how to build interpretable high-performance models using hands-on real-world projects. You will learn the latest techniques and best practices for creating models that not only perform well but also can be easily understood and explained.

This book is divided into three parts.

  1. **Part 1: Foundations of Interpretable Machine Learning**
  2. **Part 2: Hands-On Real-World Projects**
  3. **Part 3: Advanced Topics in Interpretable Machine Learning**

In Part 1, you will learn the foundations of interpretable machine learning. You will learn about the different types of interpretability, the benefits of interpretable models, and the challenges of building interpretable models.

In Part 2, you will learn how to build interpretable high-performance models using hands-on real-world projects. You will build models for a variety of tasks, including:

  • Predicting customer churn
  • Detecting fraud
  • Recommending products
  • Diagnosing diseases

In Part 3, you will learn about advanced topics in interpretable machine learning. You will learn about techniques for:

  • Measuring the interpretability of models
  • Improving the interpretability of models
  • Using interpretable models in practice

This book is written for data scientists, machine learning engineers, and anyone else who wants to learn how to build interpretable high-performance models.

No prior experience with interpretable machine learning is required. However, some basic knowledge of machine learning is helpful.

If you are ready to learn how to build interpretable high-performance models, then click the button below to Free Download your copy of the book today!

Free Download Now

Interpretable Machine Learning with Python: Learn to build interpretable high performance models with hands on real world examples
Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples
by Therese A. Rando

4.6 out of 5

Language : English
File size : 23465 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 736 pages
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The book was found!
Interpretable Machine Learning with Python: Learn to build interpretable high performance models with hands on real world examples
Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples
by Therese A. Rando

4.6 out of 5

Language : English
File size : 23465 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 736 pages
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