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Raspberry Pi 3 Cookbook for Python Programmers

You're reading from   Raspberry Pi 3 Cookbook for Python Programmers Unleash the potential of Raspberry Pi 3 with over 100 recipes

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Product type Paperback
Published in Apr 2018
Publisher
ISBN-13 9781788629874
Length 552 pages
Edition 3rd Edition
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Concepts
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Authors (2):
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Steven Lawrence Fernandes Steven Lawrence Fernandes
Author Profile Icon Steven Lawrence Fernandes
Steven Lawrence Fernandes
Dr. Steven Lawrence Fernandes holds a bachelor's degree in electronics and communication engineering, a master's degree in microelectronics, and a Ph.D. in computer vision and machine learning. His Ph.D work "Match composite sketch with drone images" has received patent notification (Patent Application Number: 2983/CHE/2015). has post the doctoral research experience working in deep learning at the University of Alabama at Birmingham, USA. He received the prestigious US award from the Society for Design and Process Science for his outstanding service contributions in 2017 and Young Scientist Award by Vision Group on Science and Technology in 2014. He has also received a research grant from the Institution of Engineers.
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Tim Cox Tim Cox
Author Profile Icon Tim Cox
Tim Cox
Tim Cox works as a software engineer and is passionate about programming. He holds a bachelor's degree in electronics and electrical engineering and has a rich career in developing embedded software for a range of industries. To support the vision behind the Raspberry Pi and to encourage a new generation of engineers, Tim co-founded the MagPi magazine (the official magazine for the Raspberry Pi). He also produces electronic kits through his site PiHardware.
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with a Raspberry Pi 3 Computer FREE CHAPTER 2. Dividing Text Data and Building Text Classifiers 3. Using Python for Automation and Productivity 4. Predicting Sentiments in Words 5. Creating Games and Graphics 6. Detecting Edges and Contours in Images 7. Creating 3D Graphics 8. Building Face Detector and Face Recognition Applications 9. Using Python to Drive Hardware 10. Sensing and Displaying Real-World Data 11. Building Neural Network Modules for Optical Character Recognition 12. Building Robots 13. Interfacing with Technology 14. Can I Recommend a Movie for You? 15. Hardware and Software List 16. Other Books You May Enjoy

Applications of recommender systems

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Authors (2)

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Profile icon Steven Lawrence Fernandes
Steven Lawrence Fernandes
Dr. Steven Lawrence Fernandes holds a bachelor's degree in electronics and communication engineering, a master's degree in microelectronics, and a Ph.D. in computer vision and machine learning. His Ph.D work "Match composite sketch with drone images" has received patent notification (Patent Application Number: 2983/CHE/2015). has post the doctoral research experience working in deep learning at the University of Alabama at Birmingham, USA. He received the prestigious US award from the Society for Design and Process Science for his outstanding service contributions in 2017 and Young Scientist Award by Vision Group on Science and Technology in 2014. He has also received a research grant from the Institution of Engineers.
Read more
See other products by Steven Lawrence Fernandes
Profile icon Tim Cox
Tim Cox
Tim Cox works as a software engineer and is passionate about programming. He holds a bachelor's degree in electronics and electrical engineering and has a rich career in developing embedded software for a range of industries. To support the vision behind the Raspberry Pi and to encourage a new generation of engineers, Tim co-founded the MagPi magazine (the official magazine for the Raspberry Pi). He also produces electronic kits through his site PiHardware.
Read more
See other products by Tim Cox
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