What are Maximum Likelihood (ML) and Maximum a posteriori (MAP)? ("Best explanation on YouTube")

Explains Maximum Likelihood (ML) and Maximum a posteriori (MAP) estimation/detection using a Gaussian measurement/sampling example. * If you would like to support me to make these videos, you can join the Channel Membership, by hitting the "Join" button below the video, and making a contribution to support the cost of a coffee a month. It would be very much appreciated. Check out my search for signals in everyday life, by following my social media feeds: Facebook: https://www.facebook.com/profile.php?id=100091651540952 Instagram: https://www.instagram.com/iainexplains/ Related videos: (see: http://www.iaincollings.com) • What is a Probability Density Function (pdf)? https://youtu.be/jUFbY5u-DMs • What is a Multivariate Probability Density Function (PDF)? https://youtu.be/fKTBKmx0NS8 • What is a Random Variable? https://youtu.be/MM6QM3y8pvI • What is a Gaussian Distribution? https://youtu.be/RNmDyzYw7aQ • What is Gaussian Noise? https://youtu.be/VIvYxnhkvvc For a full list of Videos and accompanying Summary Sheets, see the associated website: http://www.iaincollings.com .