dswalter

14 ms·

121.
by dswalter 9y ago
It's a stark contrast from the protect-the-company-from-any-possible-contingency style most employment agreements are drafted in. Lawyers of the caliber Uber can afford don't make this sort of change accidentally.
122.
by dswalter 9y ago
Almost nobody has been paying as close attention to Uber and Travis Kalanick's goings-on as Sarah Lacy. This makes her "ton of words" a valuable addition to the national dialogue discussing the ramifications of his ouster.
123.
by dswalter 9y ago
I used to use Spark SQL for this purpose, but I've switched. I now use Spark for when I want to transform data. But when I'm writing ad-hoc data exploration/investigation queries, PrestoDB is my jam; it's what it's
124.
by dswalter 9y ago
I've been using PrestoDB for a few months now, and I'm deeply in love. It's such a well-designed piece of technology. The query execution engine is a tremendous boon to anyone with inconvenient-sized data. And it does most (a
125.
Distil Networks introduces product for cleaning your analytics data(martechseries.com)
2 points by dswalter 9y ago|0 comments
126.
by dswalter 9y ago
The wait is over! (my deepest apologies)
127.
by dswalter 10y ago
On the positive side, the corrosive powers of the dollar from your example appear to be only logarithmic.
128.
by dswalter 10y ago
I've seen UNIX tools that were more robustly designed chatbots.
129.
by dswalter 10y ago
That's a [edit:perfectly fine] example to choose for a Stanford MOOC, since Coursera was started based on the success of Andrew Ng's machine learning course. edit: People below (and above) are more knowledgeable than I am.
130.
by dswalter 10y ago
If the only major impact of current deep learning methods on culture was to squeeze out an additional 1-5% of performance on every task set in front of it, the fact that it has made large-scale speech recognition and image recognition good
131.
by dswalter 10y ago
After all the draws, it was nice to see some actual wins. For those less familiar with chess, the final game was kind of fun. Carlsen's final play was to sacrifice his queen to draw the king into a trap, when Karjakin was one free move
132.
by dswalter 10y ago
A major suspicion at the time was that other Android OEMs were concerned about Google's production of their own hardware and potential ensuing favoritism. To this day, Google has branded phones (Pixel, etc.), but they aren't made
133.
by dswalter 10y ago
Since 1000 miles/year is not enough to pay for actual use for almost anyone, this move effectively means new model Teslas have to pay per Supercharge visit. Non-free Supercharging should open the quick-charge market up to much broader
134.
by dswalter 10y ago
This SMBC comic makes the same point on survivorship bias. http://www.smbc-comics.com/comic/path-of-a-hero
135.
by dswalter 10y ago
I'm guessing you meant to link this instead. https://github.com/Microsoft/LightGBM/wiki/Experiments#compa...
136.
A Presidential Debate in N-grams(dswalter.github.io)
6 points by dswalter 10y ago|0 comments
137.
Comparing Spark and Beam(unofficialgoogledatascience.com)
2 points by dswalter 10y ago|0 comments
138.
by dswalter 10y ago
Excellent writeup. The post makes use of the OP's deep learning library Keras, which is utterly fantastic. If you want to learn more about deep learning, I'd recommend getting started with Keras on top of Theano or Tensorflow; the
139.
by dswalter 10y ago
I wish there were a clearer delineation between developer downloads on PyPI and automated builds, since it seems there's been a bit of a cultural sea change over the past year or so in favor of Py3. I'd love to know which version
140.
by dswalter 10y ago
Modularization aside (and it's terrific to have in the library), what additional functionality are you most excited about with this release?
141.
by dswalter 10y ago
I would posit that Snapchat and Facebook are working so hard on videos because video ads have a much higher payout in the current ecosystem. I don't know that it's necessarily because of efficacy.
142.
by dswalter 10y ago
I've seen a decent amount of complaining about the difficulty of supporting a kafka infrastructure. I'd be interested in thoughts from people who have used Heron as to how it is running it in production.
143.
by dswalter 10y ago
It's interesting to see that as further work is done on spark (and I'm pleased they're actually improving the system), it behaves more and more like a database.
144.
by dswalter 11y ago
It was a nice touch.
145.
by dswalter 11y ago
That convivial atmosphere is one of the things that originally set Lyft apart. More recently, they've tried to figure out how to balance that with people who prefer silence. http://thehub.lyft.com/blog/2015/7&
146.
by dswalter 11y ago
In addition, with the attention fantasy sports has been getting, his competition is probably stepping it up a bit. It may be easier to beat everyone's uncles than to best teams of people who are also using statistics/machine learn
147.
A Look into “Machine Learning's First Cheating Scandal”(dswalter.github.io)
1 points by dswalter 11y ago|0 comments
148.
A Look into “Machine Learning's First Cheating Scandal”(dswalter.github.io)
1 points by dswalter 11y ago|0 comments
149.
by dswalter 11y ago
That is a heart-wrenching encounter. I admire the author's cool head under pressure and emotional honesty and awareness.
150.
by dswalter 11y ago
Are You a Human | Data-Engineer/Backend Engineer, Senior Data Scientist, Intern positions| Detroit, MI | Full-time | ONSITE. I'm a data scientist here, and the question we work on is a fundamentally interesting one: Which users on

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