Computer Vision, Machine Learning with Core ML, Swift in iOS

About this course

Self driving cars thought to be a distant dream just a few decades ago. However, thanks to the recent progress made in various fields of computer science, this dream is becoming a reality now. Computer vision plays a central role in understanding the capabilities these vehicles required to be able to operate not only under standard conditions, but also under the most unexpected situations.

Machine Learning is everywhere these days. We live in a world where Machine Learning and Artificial Intelligence is not obscure mathematical and science fiction anymore they have become crucial part of our lives. Netflix, Amazon, Siri, Pandora, Google, Prisma the list goes on and on and it’s not just entertainment and media, It’s even the post office to healthcare and traffic to security. Close analysis suggests that virtually every moment of our lives we are touched by Machine Learning at some point. With the continuous evolution of Machine Learning(ML) and Computer Vision(CV), humankind will achieve new success in some unimaginable tasks. This is a perfect time to be involved in ML and CV world. Its evolving and becoming more and more complex while solving some of the most difficult tasks for us and thus making our lives better.

The goal of this course is to present the concrete modules needed to build a foundation for Computer Vision and Machine Learning. We will learn about various real world problems and discuss how Computer Vision solves it with various different algorithms. From there we will explore new Vision Framework introduced in iOS 11 and how it helps us handling those same tasks with a simple Application Programming Interface(API).

You will not only learn various techniques for image analysis but you will also learn how to combine them to create intelligent apps that can see things with the eye of your device(camera) and present you its perception around it.

So lets get going to build something amazing and be part of the future.

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