"This track provides a refresher on continuous mathematics for Machine Learning students. The presentation, motivation, etc., are all from a machine learning perspective. The hope, however, is that it’s useful in other contexts. The two major topics covered are linear algebra and calculus." Mohamed Elgendy
Hi, my name is Mohamed Elgendy. I'm the author of Grokking Deep Learning for Computer Vision book. I'm currently heading the engineering efforts at Synapse, a leading AI company that builds proprietary computer vision applications to detect threats at security checkpoints worldwide.
What is this track about?
This track guides you through the main mathematics and statistics concepts that you need to understand to make sense of AI and Machine Learning applications.
By the end of this training you will:
This track is best suited for:
|Mentor Response Time||5 hours Hrs.|
We believe that all knowledge is available on the web. All you need is a mentor to guide you to it. Tracks are not traditional online courses. A track is a series of videos, tasks and readings that are put together by industry experts to guide you to master your topic.
Mentors are here for you to guide you throughout your education journey. Enroll in a course and start chatting with your mentor instantly.
Never get stuck. Whatever problem you have, someone in this world can fix it. Join our community of mentors and tech experts who are ready to share their expertise and provide career mentorship through our private chatting channel.
Online educational courses that you can learn from your computer, tablet or phone to give you the flexibility to learn at your own pace.