You're reading from Python Machine Learning By Example Unlock machine learning best practices with real-world use cases

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835085622

Length 518 pages

Edition 4th Edition

Languages

Python

Tools

PyTorch

Concepts

Computer Vision

Author (1):

Yuxi (Hayden) Liu

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Table of Contents (18) Chapters

Preface

1. Getting Started with Machine Learning and Python

2. Building a Movie Recommendation Engine with Naïve Bayes FREE CHAPTER

3. Predicting Online Ad Click-Through with Tree-Based Algorithms

4. Predicting Online Ad Click-Through with Logistic Regression

5. Predicting Stock Prices with Regression Algorithms

6. Predicting Stock Prices with Artificial Neural Networks

7. Mining the 20 Newsgroups Dataset with Text Analysis Techniques

8. Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling

9. Recognizing Faces with Support Vector Machine

10. Machine Learning Best Practices

11. Categorizing Images of Clothing with Convolutional Neural Networks

12. Making Predictions with Sequences Using Recurrent Neural Networks

13. Advancing Language Understanding and Generation with the Transformer Models

14. Building an Image Search Engine Using CLIP: a Multimodal Approach

15. Making Decisions in Complex Environments with Reinforcement Learning

16. Other Books You May Enjoy

17. Index

Classifying face images with SVM

Finally, it is time to build an SVM-based face image classifier using everything you just learned. We will do so in parts, exploring the image dataset first.

Exploring the face image dataset

We will use the Labeled Faces in the Wild (LFW) people dataset (https://scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html) from scikit-learn. It consists of more than 13,000 curated face images of more than 5,000 famous people. Each class has various numbers of image samples.

First, we load the face image data as follows:

>>> from sklearn.datasets import fetch_lfw_people
Downloading LFW metadata: https://ndownloader.figshare.com/files/5976012
Downloading LFW metadata: https://ndownloader.figshare.com/files/5976009
Downloading LFW metadata: https://ndownloader.figshare.com/files/5976006
Downloading LFW data (~200MB): https://ndownloader.figshare.com/files/5976015
>>> face_data = fetch_lfw_people(min_faces_per_person...

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You're reading from Python Machine Learning By Example Unlock machine learning best practices with real-world use cases

Table of Contents (18) Chapters

Classifying face images with SVM

Exploring the face image dataset

Authors (1)

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You're reading from Python Machine Learning By Example Unlock machine learning best practices with real-world use cases

Table of Contents (18) Chapters

Classifying face images with SVM

Exploring the face image dataset

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Authors (1)

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