diego898

9 ms·

61.
by diego898 6y ago
For what its worth, I was also shocked to see your entire comment thread, with over 110 children I believe, deleted from the thread without mention. Before this, I thought HN handled deletion with graying out, [flagged] or [dead] etc. I
62.
by diego898 7y ago
Could you say a bit more (provide some links) explaining this active second-hand market? I love my SE!
63.
by diego898 7y ago
Hello, thanks for releasing this! Are there any plans to release chapter 10?
64.
by diego898 7y ago
Does anyone know if/where one could download all the art from Magic the Gathering? If not all, any subsets? Not necessarily generic wallpapers, but the actual card art.
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by diego898 7y ago
Part 0 - Introduction: http://www.oranlooney.com/post/ml-from-scratch-part-0-introd...
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by diego898 7y ago
Is there any way we can stay "updated" on this? I'd be really interested in seeing this!
67.
How Does Batch Normalization Help Optimization?(gradientscience.org)
3 points by diego898 8y ago|0 comments
68.
Contrastive Unsupervised Learning of Semantic Representations:Theoretical Frmwrk(offconvex.org)
1 points by diego898 8y ago|0 comments
69.
by diego898 8y ago
@bgroat - I'm also very curious about the fs community. Is it anything like LW? What are the main things that make it worth the yearly fee? Thanks!
70.
by diego898 8y ago
Sorry for the tangent, but from the outside I've also felt very "outside" the LW community. I'm not exactly sure how to "join" it. I know that I'm supposed to read the various required readings first, but
71.
What if we had oracles for common machine learning problems? – Michael Nielsen(cognitivemedium.com)
1 points by diego898 8y ago|0 comments
72.
by diego898 8y ago
Hello! A tangential question: how did you manage to compile the book yourself? I find many errors that are hard to track down and Im not sure if its due to missing custom packages.
73.
by diego898 8y ago
Hello! Can you comment on how this relates to: https://arxiv.org/pdf/1804.00779.pdf
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by diego898 8y ago
Can you expand on what you mean by "in that light, a ten percent reduction in cost is meaningless."?
75.
by diego898 8y ago
@micahgoulart - I am in the US and very interested in getting started. I didnt see how to contact you privately on your profile. My email is diego898 AT gmail DOT com
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by diego898 8y ago
This is fantastic. Does anyone know of a tool to download the pictures, titles, and description to display as desktop backgrounds (for this and other museum sites)?
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From Autoencoder to Beta-VAE(lilianweng.github.io)
39 points by diego898 8y ago|3 comments
78.
Theory Change and Scientific Realism – John Worrall [video](youtube.com)
1 points by diego898 8y ago|0 comments
79.
by diego898 8y ago
Can you give me a few examples of major universities that have moved/are moving to this system?
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by diego898 8y ago
I think changing the PhD system is a great target, but how can you identify that as the culprit without changing the professoriate/tenure system?
81.
Divergence and curl – Fluid flow with complex functions - Blue1Brown [video](youtube.com)
1 points by diego898 8y ago|0 comments
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by diego898 8y ago
I saw that too! (nothing in /keybase/publick/esabkey I could see). Let me know what you find!
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Nonparticipation(nomasters.io)
3 points by diego898 8y ago|0 comments
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Seven Pillars of Causal Reasoning with Reflections on Machine Learning [pdf](ftp.cs.ucla.edu)
158 points by diego898 8y ago|12 comments
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by diego898 8y ago
These are a very interesting part of Greg Egan's Diaspora: https://en.wikipedia.org/wiki/Diaspora_(novel)
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by diego898 9y ago
Thank you! This was a fantastic read.
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by diego898 9y ago
I very deeply agree with you and have not been able to find this kind of thinking/feeling synthesized into a life-philosophy I can say I subscribe to. I'd love to discuss more with you if you're interested.
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LaTeX – Beamer Presentation Tutorial [video](youtube.com)
1 points by diego898 9y ago|0 comments
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There’s Plenty of Room in the Corners: On the Volume of High-Dimensional Spheres(beta.observablehq.com)
2 points by diego898 9y ago|0 comments
90.
by diego898 9y ago
Title: Everything you wanted to know about machine learning but didn't know whom to ask Speaker: Sanjeev Arora Affiliation: Princeton University; Visiting Professor, School of Mathematics Date: November 27, 2017

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