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Learning Data Mining with Python, - Second Edition

You're reading from  Learning Data Mining with Python, - Second Edition

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781787126787
Pages 358 pages
Edition 2nd Edition
Languages
Concepts

Table of Contents (20) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Getting Started with Data Mining Classifying with scikit-learn Estimators Predicting Sports Winners with Decision Trees Recommending Movies Using Affinity Analysis Features and scikit-learn Transformers Social Media Insight using Naive Bayes Follow Recommendations Using Graph Mining Beating CAPTCHAs with Neural Networks Authorship Attribution Clustering News Articles Object Detection in Images using Deep Neural Networks Working with Big Data Next Steps...

Object classification


Computer vision is becoming an important part of future technology. For example, we will have access to self-driving cars in the very near future - car manufacturers are scheduled to be releasing self-driving models in 2017 and are already partially self-driving. In order to achieve this, the car's computer needs to be able to see around it; identify obstacles, other traffic, and weather conditions; and then use that to plan a safe journey.

While we can easily detect whether there is an obstacle, for example using radar, it is also important we know what that object is. If it is an animal on the road, we can stop and let it move out of the way; if it is a building, this strategy won't work very well!

Use cases

Computer vision is used in many scenarios. Following are some examples where they applications is very important.

  • Online map websites, such as Google Maps, use computer vision for a number of reasons. One reason is to automatically blur any faces that they find, in...
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