xtacy

16 ms·

121.
Are GMOs safe?(slate.com)
1 points by xtacy 10y ago|0 comments
122.
by xtacy 10y ago
This week's Kurzgesagt episode covered CRISPR in an easy to understand fashion: https://www.youtube.com/watch?v=jAhjPd4uNFY .
123.
by xtacy 10y ago
I tried browsing the Darpa challenge's website to know more, but I couldn't find any information. Could someone please post a link to a detailed description of the challenge?
124.
by xtacy 10y ago
Not quite, but as the paper says: Corollary: No probabilistic regular grammar exhibits criticality. In the next section, we will show that this statement is not true for context-free grammars (CFGs). That is, there
125.
What my deep model doesn't know(mlg.eng.cam.ac.uk)
6 points by xtacy 10y ago|0 comments
126.
by xtacy 10y ago
I've switched to zsh and it works quite well with multiple sessions.
127.
Winograd Schemas(cs.nyu.edu)
64 points by xtacy 10y ago|11 comments
128.
Leaf framework: Tensorflow wins(medium.com)
7 points by xtacy 10y ago|1 comments
129.
by xtacy 10y ago
I partly agree with you, but I wouldn't go to the extent of using "easily" in this phrase -- > Statistical dependence can be determined easily if you know the distributions, Even if you know the distribution, a statistical
130.
by xtacy 10y ago
> But even they do not admit Pearson (or any other type) of correlation, but rather the nebulous "statistical dependence". The notion of "Statistical dependence" is not nebulous. X and Y are independent if the joint
131.
by xtacy 11y ago
Not quite -- in your reference frame, you cross the blackhole's event horizon and go inside, but an observer (who is outside the event horizon) will only see you reach the event horizon and slowly "fade away."
132.
by xtacy 11y ago
Kudos on the polished project release. I am relatively new to go, and I am curious about the technology stack behind such a webapp. How does it work under the hood? - How do you develop such web apps with html, css, javascript, go, etc. a
133.
by xtacy 11y ago
I think what the article meant to say was that, for the same number of samples, the p-value when you have delta=50 (the difference between groups), stdev=10 is the same as the p-value of delta=0.5, stdev=0.1. Depending on the study, finding
134.
by xtacy 11y ago
You are also normalising the difference by the variance, so the t-statistic has no units.
135.
A dozen misconceptions about p-values(researchgate.net)
4 points by xtacy 11y ago|0 comments
136.
Graphical Data Analysis with R(gradaanwr.net)
2 points by xtacy 11y ago|0 comments
137.
I Fooled Millions into Thinking Chocolate Helps Weight Loss. Here's How(io9.gizmodo.com)
5 points by xtacy 11y ago|0 comments
138.
Interview with Dr. Bennet Omalu – the risk of high-impact contact sports(startribune.com)
15 points by xtacy 11y ago|5 comments
139.
Stein's paradox in Statistics (1977) [pdf](statweb.stanford.edu)
69 points by xtacy 11y ago|13 comments
140.
by xtacy 11y ago
Very nice visualisation! It would be good to gracefully handle large graphs. I typed in "torvalds/linux" and my tab froze!
141.
Interview with Dr. Bennet Omalu(startribune.com)
1 points by xtacy 11y ago|0 comments
142.
by xtacy 11y ago
Nice initiative. Cheap serde and cross-language compatibility with an eye towards data scan intensive workloads is an important component! Have you folks considered Supersonic engine from Google, which was designed with similar (but not as
143.
by xtacy 11y ago
I too found Pearl's book hard to navigate on first attempt. Do not let that stop you! After a hiatus, I stumbled upon this blog post [1], which explained the core ideas in Pearl's framework beautifully in a simple language. My
144.
Deep Learning Tutorial at NIPS 2015 [pdf](iro.umontreal.ca)
1 points by xtacy 11y ago|0 comments
145.
by xtacy 11y ago
Thanks for references. I've read the topology and data paper; it lays down motivations for TDA, but it doesn't quite connect it to existing literature on dimensionality reduction and manifold learning and explain -- "Here&#x2
146.
by xtacy 11y ago
I find the topic intriguing, but can someone who is well versed with both topology and machine learning comment on what is the key innovation here? On first glance, the methods here seem a lot like the toolbox of dimensionality reduction
147.
by xtacy 11y ago
Like any topic/skill, it can be learnt, but only if you spend significant time and effort by doing projects, exercises, asking questions (stackexchange, etc.). It's very important to pay attention to fundamentals and thinking fro
148.
by xtacy 11y ago
Yes, that is correct. Here's the linked reddit post that confirms it: https://www.reddit.com/r/MachineLearning/comments/2xcyrl/i_a...
149.
by xtacy 11y ago
In the past, some of my colleagues have used Intel's 82599 NICs for kernel bypass. Their Linux driver is quite good, they have a DPDK platform for developing user-space apps to directly access ring buffers on the NIC, and if you do a
150.
The Fallacy of Placing Confidence in Confidence Intervals(learnbayes.org)
47 points by xtacy 11y ago|9 comments

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