There are plenty of free lectures on machine learning fundamentals on YouTube. Some of the best ones:
Stanford CS229: Machine Learning (Autumn 2018) by Andrew Ng (20 Lectures):
This is a great introduction to machine learning including theory and example applications, given by one of the most popular lecturer and expert of machine learning. Completely free !! The first video is here and others can be reached via https://www.youtube.com/watch?v=jGwO_UgTS7I&list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU
CORNELL CS4780 “Machine Learning for Intelligent Systems
Another great machine learning lecture taught by Kilian Weinberger at Cornell University
Lecture homepage: http://www.cs.cornell.edu/courses/cs4780/2018fa/
Lecture notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/
And lectures on YouTibe
The next one:
SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) taught by Professor H.R.Tizhoosh
The objective of this course is to introduce the students to the main concepts of machine intelligence as parts of a broader framework of “artificial intelligence”. An overview of different learning, inference and optimization schemes will be provided, including Principal Component Analysis, Support Vector Machines, Self-Organizing Maps, Decision Trees, Backpropagation Networks, Autoencoders, Convolutional Networks, Fuzzy Inferencing, Bayesian Inferencing, Evolutionary algorithms, and Ant Colonies.
These lectures are also available on YouTube for free !!