rasmi

15 ms·

31.
by rasmi 8y ago
>It is expected that the Department of Electrical Engineering and Computer Science (EECS), the Computer Science and Artificial Intelligence Laboratory (CSAIL), the Institute for Data, Systems, and Society (IDSS), and the MIT Quest for In
32.
by rasmi 8y ago
It is noted in this FAQ that CSAIL will become part of the new college. http://news.mit.edu/2018/faq-mit-stephen-schwarzman-college-...
33.
by rasmi 8y ago
An Introduction to Modern Astrophysics by Carroll & Ostlie is the Bible, but it is quite large physically and in scope and better serves as a reference for most people. For various topics, I would look at: Introduction to Cosmology
34.
by rasmi 8y ago
Here's a neat use case analyzing GDELT data: https://blog.gdeltproject.org/peering-into-the-visual-landsc...
35.
A New TensorFlow Hub Web Experience(medium.com)
2 points by rasmi 8y ago|0 comments
36.
TensorFlow Data Validation(tensorflow.org)
44 points by rasmi 8y ago|3 comments
37.
Protecting against the new “L1TF” speculative vulnerabilities(cloud.google.com)
19 points by rasmi 8y ago|1 comments
38.
by rasmi 8y ago
Video explanation here: https://www.youtube.com/watch?v=n_pa2AisRUs
39.
Details and Mitigation Information for L1 Terminal Fault Vulnerability(newsroom.intel.com)
8 points by rasmi 8y ago|1 comments
40.
by rasmi 8y ago
Actually, the Google guides were initially published in February (and publicly available before that from Martin Zinkevich since 2016!). But I agree, it's great to see more resources around these best practices.
41.
by rasmi 8y ago
Hi Vincent, you may want to point your "Best Practices for ML Engineering" link to the non-PDF version here: https://developers.google.com/machine-learning/guides/rules-...
42.
by rasmi 8y ago
Give "Designing Data-Intensive Applications" a read. It's an excellent book on these topics. https://dataintensive.net
43.
by rasmi 8y ago
If you're interested, this project is open source! https://github.com/tensorflow/models/tree/master/research/as... https://ai.googleblog.com/2018/03/open-sourcing-hunt
44.
by rasmi 8y ago
For comparison, here is a look at Waymo's simulation operations: https://www.theatlantic.com/technology/archive/2017/08/insid...
45.
Many opportunities for discrimination in deploying machine learning systems(nlpers.blogspot.com)
3 points by rasmi 8y ago|0 comments
46.
by rasmi 8y ago
If you're interested in this, be sure to read "The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction" [1] and the Rules of Machine Learning [2]. [1] https://ai.google/research&#x
47.
The necessity – and the difficulty – of admitting failure in research(andrewgelman.com)
1 points by rasmi 8y ago|0 comments
48.
by rasmi 8y ago
And if you want to just load generic pre-trained classifiers for a variety of tasks, ml5js (which uses TensorFlow.js under the hood) seems promising! https://ml5js.org/docs/quick-start
49.
by rasmi 8y ago
I watched the whole talk, so I heard the bit about the IDE, but I still think there's a really fundamental ability of being able to walk through the "decision-making logic" of your "code" (in this case, model) that
50.
by rasmi 8y ago
One downside of Software 2.0 as compared to 1.0, at least as of today: it is incredibly hard to debug in the conventional sense. The focus of this talk was mostly on data-labelling challenges. For a company with software as mission-critical
51.
by rasmi 8y ago
These are not revolutionary or even helpful ideas, but they can be convenient or fun. For example: Some medical applications (just for example, you would need quite a robust model): * Categorize moles on your skin as cancerous or not. * Cat
52.
by rasmi 8y ago
Core ML is bring-your-own-model (or use the built-in classifiers, which have generic labels). This is an easy way to train custom models (for example, on images from your own product catalog).
53.
by rasmi 8y ago
This looks like a really easy way to integrate your own custom ML models into your app. I imagine this would appeal to a lot of hobbyist developers, especially given how simple it is. The docs [1] also seem to imply they're using trans
54.
Pinterest adds ability to search by skin tone(medium.com)
1 points by rasmi 8y ago|0 comments
55.
Becoming Someone: How the Internet Turned Inwards(medium.com)
1 points by rasmi 8y ago|0 comments
56.
by rasmi 9y ago
To me this doesn't mean "Sharing traditional AI research is dangerous," but rather "Our efforts may be best spent on less popular topics such as safety, policy, and standards research, so you may see us do less tradition
57.
by rasmi 9y ago
Great MoMA exhibit here: https://www.moma.org/interactives/exhibitions/2011/AccesstoT...
58.
by rasmi 9y ago
It's meant to help evaluate the performance of a TensorFlow model after training. In particular, you can define a series of metrics to measure, and different subsets of the data to evaluate on. And it can scale up to evaluate on large
59.
TensorFlow Hub(tensorflow.org)
5 points by rasmi 9y ago|0 comments
60.
FBI Tracked an Activist as They Travelled Across the U.S., Documents Show(theintercept.com)
20 points by rasmi 9y ago|6 comments

More ›