OpenCV is a library of programming functions mainly aimed at real-time computer vision. This course will show you how machine learning is a great choice to solve real-world computer vision problems and how you can use the OpenCV modules to implement popular machine learning concepts.
- Access 12 lectures & 1.5 hours of content 24/7
- Learn how to work w/ various OpenCV modules for statistical modeling & machine learning
- Discuss supervised & unsupervised learning, and how to implement them w/ real-world examples
- Implement efficient models using classification, regression, decision trees, K-nearest neighbors, & more
Joe Minichino is a computer vision engineer for Hoolux Medical by day and a developer of the NoSQL database LokiJS by night. On weekends, he is a heavy metal singer/songwriter. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experiments with them. At Hoolux, Joe leads the development of an Android computer vision-based advertising platform for the medical industry.
Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Università Statale), Joe has spent his last 11 years living in Cork, Ireland, which is where he became a computer science graduate at the Cork Institute of Technology.
You can find him on LinkedIn at: https://www.linkedin.com/in/joeminichino