Computer Vision has been booming in the past few years and it has become a highly sought-after skill. There are tons of real-life problems for which Machine Learning-based solutions provide significantly better results than traditional ad-hoc approaches. The application of Machine Learning and Deep Learning is rapidly gaining significance in Computer Vision.
All the latest tech—from self-driving cars to autonomous drones—uses AI running on images and videos. If you want to get your hands dirty with this technology and use it to craft your own unique solutions, then look no further because this course is perfect for you!
This hands-on course will immerse you in Machine Learning, and you'll learn about key topics and concepts along the way. This course is perfect for people who wish to explore the possibilities inherent in Machine Learning.
This course targets Python developers who want to use OpenCV and apply it to machine learning for Computer Vision. If you have some understanding of Python and OpenCV and want to learn about real-life applications of machine learning via working examples that use ML algorithms, this course is for you! This course can be used as a generic resource to bridge the gap from beginner to mastering computer vision implementations in machine learning.
This course provides you with the latest and greatest developments that Machine Learning brings to Computer Vision.
A practical, hands-on course with a ton of real-life examples to help you build your own solutions.
Learn about cutting-edge and state-of-the-art (and ever popular) object detection.