Today I have finished obligatory quizzes for Machine Learning course from Stanford I have started recently. Some questions in the second quiz were more tricky than I expected. But hopefully I will be able to follow up with the rest of the course.
So far the teaching materials- video lectures were of an amazing quality. Everything is explained very well and even a beginner in the field of AI will be able to understand it. Appropriate examples that were given are also really helpful. So far it didn't even require that much maths knowledge but it definitely has given great overview of how some mathematical equations are used for machine learning algorithms (gradient descent algorithm specifically).
I also really like the third part non-obligatory- an introduction to some operations on matrices, vectors etc. That's the last thing left for me to do before entering week 2 when the materials will be released.
PS: While waiting for week 2 materials to be released I will give some description of my last university AI project I've made. You might have seen an introduction about it in earlier posts.
Since I still have couple days of holidays I plan to use them to learn about AI, to be more specific-Machine Learning. Therefore I have started taking part in Machine learning course on Coursera from Stanford University. speech recognition program
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