Machine Learning for OpenCV 4: Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, 2nd Edition

Author:   Aditya Sharma ,  Vishwesh Ravi Shrimali ,  Michael Beyeler
Publisher:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781789536300


Pages:   420
Publication Date:   06 September 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Machine Learning for OpenCV 4: Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, 2nd Edition


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Author:   Aditya Sharma ,  Vishwesh Ravi Shrimali ,  Michael Beyeler
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781789536300


ISBN 10:   1789536308
Pages:   420
Publication Date:   06 September 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents A Taste of Machine Learning Working with Data in OpenCV First Steps in Supervised Learning Representing Data and Engineering Features Using Decision Trees to Make a Medical Diagnosis Detecting Pedestrians with Support Vector Machines Implementing a Spam Filter with Bayesian Learning Discovering Hidden Structures with Unsupervised Learning Using Deep Learning to Classify Handwritten Digits Ensemble Methods for Classification Selecting the Right Model with Hyperparameter Tuning Using OpenVINO with OpenCV Conclusion

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Author Information

Aditya Sharma is a senior engineer at Robert Bosch working on solving real-world autonomous computer vision problems. At Robert Bosch, he also secured first place at an AI hackathon 2019. He has been associated with some of the premier institutes of India, including IIT Mandi and IIIT Hyderabad. At IIT, he published papers on medical imaging using deep learning at ICIP 2019 and MICCAI 2019. At IIIT, his work revolved around document image super-resolution. He is a motivated writer and has written many articles on machine learning and deep learning for DataCamp and LearnOpenCV. Aditya runs his own YouTube channel and has contributed as a speaker at the NCVPRIPG conference (2017) and Aligarh Muslim University for a workshop on deep learning. Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. Since then, he has been working with BigVision LLC on deep learning and computer vision and is also involved in creating official OpenCV courses. He has a keen interest in programming and AI and has applied that interest in mechanical engineering projects. He has also written multiple blogs on OpenCV and deep learning on LearnOpenCV, a leading blog on computer vision. When he is not writing blogs or working on projects, he likes to go on long walks or play his acoustic guitar. Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye). His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.

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