Book Image

Learning Data Mining with Python - Second Edition

By : Robert Layton
Book Image

Learning Data Mining with Python - Second Edition

By: Robert Layton

Overview of this book

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...