You can not really appreciate the beauty of machine learning without the maths behind it. I don't know what your maths background is but if I had to recommend,

You can not really appreciate the beauty of machine learning without the maths behind it. I don't know what your maths background is but if I had to recommend, a good understandig of Linear Algebra makes all the difference when you read ML papers. I would storngly recommend Gilbert Strang's two courses on Linear Algebra [1] and Matrix Methods[2]. Everything else that mostly cares about application is easy to find on the internet (see the r/MachineLearning subreddit). [1] https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/ https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra... [2] https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/ https://ocw.mit.edu/courses/mathematics/18-065-matrix-method...