juxtaposicion

9 ms·

31.
by juxtaposicion 5y ago
How are these interactive visualizations made? As a senior machine learning engineer (with only rudimentary JS skills) it would be fantastically fun to make something like these.
32.
by juxtaposicion 6y ago
Stitch Fix. Data Science Manager. Come lead a team to build real-time state-of-the-art recommender systems. See more here: https://docs.google.com/presentation/d/1xCUatmnolfzUzfHR6Wmq... Apply here: https:/&
33.
Waymo will add up to 20,000 Jaguar I-PACEs to their fleet(medium.com)
7 points by juxtaposicion 9y ago|0 comments
34.
by juxtaposicion 9y ago
How does this compare to Edward, PyMC, Stan, et al? Is the primary distinction due to PyTorch’s imperative, dynamic programming?
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Word Tensors(multithreaded.stitchfix.com)
4 points by juxtaposicion 9y ago|0 comments
36.
So you want to found an AI startup?(docs.google.com)
3 points by juxtaposicion 9y ago|0 comments
37.
by juxtaposicion 9y ago
If you've seen tensor trains, might be interesting to reduce the rank even further by splitting an input into many sequential small matrices (instead of just two.)
38.
by juxtaposicion 10y ago
Will Keras2 support PyTorch as backend, in the future? Answer: [0] No, there are no plans to support PyTorch. There is nothing to be gained in supporting every novelty framework that crops up every quarter. Our goal is to make deep learning
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Deep Q-Learning for optimizing warehouse operations(multithreaded.stitchfix.com)
3 points by juxtaposicion 10y ago|0 comments
40.
HN Trends using lda2vec(multithreaded.stitchfix.com)
4 points by juxtaposicion 10y ago|0 comments
41.
Engineers shouldn't write ETLs(multithreaded.stitchfix.com)
4 points by juxtaposicion 11y ago|0 comments
42.
by juxtaposicion 11y ago
In general, TensorFlow and other automatic differentiation frameworks (Chainer, Torch, Theano, etc.) operate on gradient descent of smooth functions. If you can recast your combinatorial problem into a smooth function, then these frameworks
43.
by juxtaposicion 11y ago
I implemented the new t-SNE in sklearn, so I've got some experience in reading these diagrams. Unfortunately, as wonderful as the algorithm is, it's extremely hard to interpret what it means rigorously. I've seen many diagram
44.
by juxtaposicion 11y ago
It combines the (arguably) best properties of both algorithms. Word2vec is local and creates word representations that are powerful and flexible. LDA is global, creating document representations that are less flexible but very interpretable
45.
Word2vec, LDA, and introducing a new hybrid algorithm: lda2vec(slideshare.net)
131 points by juxtaposicion 11y ago|11 comments
46.
Scikit-learn 0.17 released: LDA, faster t-SNE, NMF, trees(scikit-learn.org)
1 points by juxtaposicion 11y ago|0 comments
47.
by juxtaposicion 11y ago
I think you're right when thinking about CNNs on words. It's max-pool that's usually combined with CNNs that helps with translational invariance, less so the CNN filters themselves (which, if it were a full convolution, would
48.
Deep Style(multithreaded.stitchfix.com)
1 points by juxtaposicion 11y ago|1 comments
49.
by juxtaposicion 11y ago
The Stitch Fix Tech Blog is also nice: http://multithreaded.stitchfix.com/blog/ And has recently covered GAMs, mixed effects models, word2vec, and tools like Pyxley.
50.
Deep Learning Frameworks Comparison Table: Theano vs. Torch vs. Caffe vs. Chainer(chainer.readthedocs.org)
6 points by juxtaposicion 11y ago|0 comments
51.
by juxtaposicion 12y ago
Thanks! The word 'vacation' is just removed from the list since it's exactly what we're looking for.
52.
by juxtaposicion 12y ago
The item vectors are generated from the text: customers and stylists write text about the stripes, or maternity, and word2vec associates this with the item in question. How that happens is treated in the next section about summarizing docum
53.
by juxtaposicion 12y ago
It's my first time seeing the package, but looking over the docs it looks like it implements LSA. The major difference here is that word2vec dramatically outperforms LSA in a variety of tasks ( http://datascience.stackexchang
54.
by juxtaposicion 12y ago
It's just a play on the phrase a 'picture is worth a thousand words' :) The word vectors themselves contain sophisticated relationships that seem almost miraculous, we're definitely not negative on them (Speaking as one
55.
by juxtaposicion 12y ago
In both this paper and word2vec, the key concept is to try and represent a high-dimensional and sparse dataset as a dense and low-dimensional continuous vector. Interestingly, the same skip-gram algorithm is used for both even though it&#x2
56.
by juxtaposicion 12y ago
Is Julia being used in production at StitchFix?
57.
by juxtaposicion 13y ago
I hope this program grows. The thirst for high-quality data engineers is unquenchable.
58.
by juxtaposicion 13y ago
This is particularly great for recommending new software for rich ecosystems like Hadoop. This highlighted the usual suspects: Hive, Pig, & Cassandra, but it also found a few Apache Incubation projects automagically: http://i
59.
by juxtaposicion 13y ago
For what is similar to the linux kernel: http://inspectorgit.com/torvalds+linux Gets Git itself as well memcached!
60.
by juxtaposicion 13y ago
Thanks! I'll have to spend more time sanitizing the input.

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