Ending In:
Certification Included
access
lifetime
content
1.5 Hours
Description
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
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
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate
Terms
- Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
Course Outline
- Introduction to Machine Learning
- The Course Overview (3:01)
- The Basics of Machine Learning (6:08)
- Extracting Features and Preparing the Data
- Creating Training Data and Extracting Information (6:18)
- Extracting Features (4:07)
- Classifier and Regression
- K-Nearest Neighbors (8:37)
- Logistic Regression (8:03)
- Normal Bayes Classifier (4:27)
- Decision Trees and Support Vector Machines
- Decision Trees (10:12)
- Support Vector Machines (12:02)
- Neural Networks
- Artificial Neural Networks (12:29)
- Unsupervised Learning and Introduction to Deep Learning
- Unsupervised Learning (5:03)
- Deep Learning (15:04)
access
lifetime
content
1.5 Hours