|Triple Treat Machine Learning|
|Written by Nikos Vaggalis|
|Tuesday, 07 December 2021|
Here are three great Machine Learning and Artificial Intelligence courses, two of them from prestigious academic institutions and one from Google, all available as free videos.
"Thanks" to the pandemic, many noteworthy college classes that would be only accessible to their registered institutional students are making their way to the public and for free.
We have already looked at Stanford's Natural Language Processing with Deep Learning and before that at Free Resources For Machine Learning which included "Machine Learning with Graphs" from Stanford and "Introduction to Deep Learning" by Sebastian Raschka. Another three courses that we've examined before are:
This time we are coming back with a few more.
First stop is Prof. Dr. Stefan Harmeling's of Heinrich-Heine-Universität Düsseldorf "Machine Learning Lecture WS 2021/22", WS for "Wintersemester". Despite being taught at a German University, no worries, the lectures are all in English.
Dr. Stefan Harmeling posts his lectures on YouTube as they take place with the latest upload happening a couple of days ago. The accumulated lectures comprise a playlist of 15 at the time of writing:
01 - Introduction
While the videos are available, the complementary resources like pdf's, power-points and lecture notes are not.
Next stop is "Computer Science 3200 - Fall 2021 - Intro to Artificial Intelligence" by Professor David Churchill of Memorial University.
Professor David Churchill goes one step further, livestreaming the lectures on Twitch! then making the recordings available on YouTube.
This course is an introduction to Artificial Intelligence (AI), covering algorithmic techniques and data structures used in modern problem-solving environments and comes with the following syllabus :
Introduction to Artificial Intelligence
• Search Algorithms
• Genetic Algorithms (GA)
• Reinforcement Learning (RL)
• Neural Networks (NN)
Fortunately in this case all the complementary resources come attached and cleanly indexed in a shared Google spreadsheet.
Last, but certainly not least, is "Making Friends with Machine Learning". This is a previously internal-only Google course specially created to inspire beginners and amuse experts and is now available to everyone for free.
It is run by Cassie Kozyrkov, nothing short of a genius, who has four degrees; psychology,economics, mathematical statistics and cognitive neuroscience. Her role at Google is that of Head of Decision Intelligence and what she actually does is looking at data using the lenses of statistics and machine learning to help people and companies make informed decisions. If you watch the videos you'll discover that she has got a unique sense of humor too!
MFML is more down to earth and focuses on the conceptual understanding rather than the mathematical and programming details, guiding you through the ideas that form the basis of successful approaches to machine learning.
It's a six hour session that has been split into 4 installments:
The first three parts are an attempt to introduce the concepts in an easy to understand language while the fouth and final one is more technical as it introduces you to the inner workings of popular ML/AI algorithms:
Cassie's playlist spans beyond those four lengthy videos and includes another 52 short clips on everything ML.
So there we have our treat - another three great resources to start your ML journey.
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