This course provides an introduction to computer vision including fundamentals, methods for application and machine learning classification.
This is my favorite course that I have done so far. It is a very complete course for beginners, hosted by Andrew Ng. It covers all concepts about machine learning, with exercises (Matlab/Octave) and quizzes. If you have a backgroung on statistics and linear algebra, it might be helpful. But if you don’t, its ok.
Neural Networks and Deep Learning from deeplearning.ai. If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep
This is a hands-on course about Machine Learning. Very practical. You will finish this course with a set of machine learning algorithms in Python and R. But don’t expect to learn about concepts, the focus of this course is in algoritm’s application.
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Neural Networks for Machine Learning from University of Toronto. Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, im
Serverless Machine Learning with Tensorflow on Google Cloud Platform from Google Cloud. This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and buil
Greetings Welcome to the data repository for the Machine Learning course by Kirill Eremenko and Hadelin de Ponteves. The datasets and other supplementary materials are below. Enjoy!