Ask HN: Recommendation for PhD-level course on DeepLearning for self-learner?

1 points by striker_axel 6 years ago | 1 comment

Hi HN, I have started my study on DeepLearning from March. Initially, I went with no Math courses like fast.ai and Started working on code. But to implement something new I needed a Deeper Knowledge on Research papers so I have completed the following courses.

1. Andrew Ng's DeepLearning Specialization

2. NLP from Stanford.

then I went to https://www.deeplearningbook.org book by Ian Goodfellow. But the unsupervised learning part too abstract. that I feel like I am still missing the foundation for understanding deeplearnning.

Any recommendation?

seesawtron 6 years ago |

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... [2] https://ocw.mit.edu/courses/mathematics/18-065-matrix-method...