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Watch challenging clips or lectures. I had feedback on my thesis on nonparametric Bayesian methods and started two days ago watching lectures on topology and co
by MrQuincle 6y ago
Watch challenging clips or lectures. I had feedback on my thesis on nonparametric Bayesian methods and started two days ago watching lectures on topology and convergence. It somehow unlocked concepts that made it much easier to grog the feedback, even though it was not directly related.
- antman 6y agoAny lectures you would suggest?
- MrQuincle 6y agoThe topology one I mentioned is from Jack Nathan. I also liked the lectures on convex optimization by Stephen Boyd a lot. Steve Brunton on Fourier analysis. It's all very subjective of course. Andrew Ng would be mentioned by most and I've watch the series as well, but I find that suddenly I'm intrigued by a mathematical field via some connection I didn't make before. For example, I experiment with auto-encoders, then I read some papers on using the Wasserstein distance as a metric. Subsequently, I'm watching clips and lectures on optimal transport. The nice thing about math is that it's so self-motivating to me. The more I learn, the more I want to know. I don't know, maybe it's a type of addiction.