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OverviewFull Product DetailsAuthor: Aditya Sharma , Vishwesh Ravi Shrimali , Michael BeyelerPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited Edition: 2nd Revised edition ISBN: 9781789536300ISBN 10: 1789536308 Pages: 420 Publication Date: 06 September 2019 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable 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 ConclusionReviewsAuthor InformationAditya 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. Tab Content 6Author Website:Countries AvailableAll regions |