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Building Machine Learning Systems with Python

You're reading from   Building Machine Learning Systems with Python Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow

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Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788623223
Length 406 pages
Edition 3rd Edition
Languages
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Authors (3):
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Luis Pedro Coelho Luis Pedro Coelho
Author Profile Icon Luis Pedro Coelho
Luis Pedro Coelho
Willi Richert Willi Richert
Author Profile Icon Willi Richert
Willi Richert
Matthieu Brucher Matthieu Brucher
Author Profile Icon Matthieu Brucher
Matthieu Brucher
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with Python Machine Learning 2. Classifying with Real-World Examples FREE CHAPTER 3. Regression 4. Classification I – Detecting Poor Answers 5. Dimensionality Reduction 6. Clustering – Finding Related Posts 7. Recommendations 8. Artificial Neural Networks and Deep Learning 9. Classification II – Sentiment Analysis 10. Topic Modeling 11. Classification III – Music Genre Classification 12. Computer Vision 13. Reinforcement Learning 14. Bigger Data 15. Where to Learn More About Machine Learning 16. Other Books You May Enjoy

Summary

We learned the classical feature-based approach to handling images in a machine learning context; by converting from a million pixels to a few numeric features, we were able to directly use a logistic regression classifier. All of the technologies that we learned in the other chapters suddenly became directly applicable to image problems. We saw one example in the use of image features to find similar images in a dataset.

We also learned how to use local features in a bag of words model for classification. This is a very modern approach to computer vision and achieves good results, while being robust enough for many irrelevant aspects of the image, such as illumination, and even uneven illumination in the same image. We also used clustering as a useful intermediate step in classification, rather than as an end in itself.

We focused on mahotas, which is one of the major...

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