Machine Learning Course with Python: From Linear Models to Deep Learning | Part - 1
Machine learning aims to design, understand, and apply computer programs that learn from experience (i.e. data) for the purpose of modeling, prediction, and control. In this course, you will be able to understand the goal of machine learning from a movie recommender example. You will also understand the elements of supervised learning, the difference between the training set and the test set, and the difference between classification and regression—two representative kinds of supervised learning.
I wanted to let you know that I recently worked with some MIT students to create this course that I hope you all enjoyed. We're already hard at work on the next part, so stay tuned for that!
Oh, and I also wanted to mention that I've created a course on three.js as well. If you're interested, feel free to enroll in that one too!
Professional Three.js Course: https://bit.ly/3i6XcTi
Get your hands on our Merch: http://bit.ly/3lRTboo
All the information, presentations, and images used in this video can be found in the official documentation.
Documentation: http://bit.ly/3K3Slgj
Machine Learning Playlist: https://bit.ly/3K4UuYZ
Machine Learning Documentation: http://bit.ly/3ZBsAtt
#machinelearning #python #ai
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