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Python Machine Learning Cookbook, - Second Edition

You're reading from  Python Machine Learning Cookbook, - Second Edition

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789808452
Pages 642 pages
Edition 2nd Edition
Languages
Authors (2):
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (18) Chapters close

Preface 1. The Realm of Supervised Learning 2. Constructing a Classifier 3. Predictive Modeling 4. Clustering with Unsupervised Learning 5. Visualizing Data 6. Building Recommendation Engines 7. Analyzing Text Data 8. Speech Recognition 9. Dissecting Time Series and Sequential Data 10. Analyzing Image Content 11. Biometric Face Recognition 12. Reinforcement Learning Techniques 13. Deep Neural Networks 14. Unsupervised Representation Learning 15. Automated Machine Learning and Transfer Learning 16. Unlocking Production Issues 17. Other Books You May Enjoy

User authentication by face recognition

Authentication technologies based on facial recognition have been a consolidated reality for several decades now. We no longer have to carry pocket cards, store it on the phone, or use mnemonics to remember a different one each time, if we are so considerate to change it often. What we need to do is authenticate that which we already had it with us. To do this, we just look at our webcam. An identification system based on facial recognition tries to identify a person by comparing the image of the face that was just acquired with those present in a database to find a possible correspondence. This leads to either allowing or prohibiting access.

Getting ready

In this recipe, we will see...

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