Hello r/machinelearning !
I am a beginner in the wonderful field of Machine Learning. I took Prof. Andrew Ng's class in coursera a year ago, so I know somewhat about regressions, optimization algorithms, basic neural nets, SVMs, and the likes.
However, I have not yet used any of those knowledge in any practical areas. With the new era of Deep Learning and the exciting prospects it entails, I am extremely eager to dive my hands into it, only I feel that I am not ready. My knowledge of ML is a limited one that I gathered from Prof Andrew's course and my mathematics isn't at the level where I could be called an expert.
Thus, I'd like to inquire of good resources which could fill the gaps in my knowledge of ML and prepare me for a dive into the world of Deep Learning. I'd really appreciate if you guys could point me in the right direction.
Regards.
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