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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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Table of Contents (17) Chapters Close

Preface 1. Getting Started with Python Machine Learning FREE CHAPTER 2. Classifying with Real-World Examples 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

Improving classification performance with mel frequency cepstral coefficients

We already learned that FFT is pointing us in the right direction but in itself, will not be enough to finally arrive at a classifier that successfully manages to organize our scrambled directory of songs into individual genre directories. We need a more advanced version of it.

At this point, we have to do more research. Other people might have had similar challenges in the past and already found ways that might also help us. And, indeed, there is even a yearly conference dedicated to music-genre classification, organized by the International Society for Music Information Retrieval (ISMIR). Apparently, Automatic Music Genre Classification (AMGC) is an established subfield of music information retrieval. Glancing over some of the AMGC papers, we can see that there is a bunch of work targeting automatic...

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