datascientist

8 ms·

1.
by datascientist 2y ago
Mississippi Burning is one my favorite films https://en.wikipedia.org/wiki/Mississippi_Burning
2.
by datascientist 2y ago
alternative link: http://archive.today/PJIHr
3.
by datascientist 2y ago
https://gradientflow.com/the-moderation-dilemma-a-balanced-l...
4.
by datascientist 2y ago
How does this relate to https://github.com/lancedb/lance
5.
by datascientist 2y ago
also see https://gradientflow.com/open-source-principles-in-foundatio...
6.
by datascientist 3y ago
Alignment is hard: "If the LLM has finite probability of exhibiting negative behavior, there exists a prompt for which the LLM will exhibit negative behavior with probability 1." Source: Fundamental Limitations of Alignment in LL
7.
by datascientist 4y ago
Creators of the data quality tool for computer vision, fastdup, continue to improve on their free release https://github.com/visual-layer/fastdup Here's a short video of some recent results for LAION 400M https:
8.
by datascientist 4y ago
Recent perspectives from the creators of Prefect, Dagster, Flyte, and Orchest => https://gradientflow.com/summer-of-orchestation/
9.
by datascientist 7y ago
If you need to scale out or speedup pandas, there's Modin https://modin.readthedocs.io/en/latest/ (which uses Ray from)
10.
by datascientist 8y ago
Gunnar Carlsson will be teaching a related tutorial ("Using topological data analysis to understand, build, and improve neural networks") on April 16th in New York City https://conferences.oreilly.com/artificial-i
11.
by datascientist 9y ago
RISE Lab's Ray platform (now includes RLlib) is another option https://www.oreilly.com/ideas/introducing-rllib-a-composable...
12.
by datascientist 10y ago
Chainer's Define-by-run apporach is also described here https://www.oreilly.com/learning/complex-neural-networks-mad...
13.
by datascientist 10y ago
A few months ago Mikio Braun wrote a great post on this topic (the need for data scientists with strong software development skills) https://www.oreilly.com/ideas/what-is-hardcore-data-science-...
14.
Kudu, distributed systems, and more: a conversation with Todd Lipcon(radar.oreilly.com)
3 points by datascientist 11y ago|0 comments
15.
Specialized and hybrid data management and processing engines(oreilly.com)
1 points by datascientist 11y ago|0 comments
16.
Todd Lipcon's Strata-NYC-2015 Talk on Kudu(oreilly.com)
1 points by datascientist 11y ago|0 comments
17.
Bounded and unbounded data processing and analytics(radar.oreilly.com)
3 points by datascientist 11y ago|0 comments
18.
Hadoop co-founder Mike Cafarella: “the Pete Best of big data”(radar.oreilly.com)
4 points by datascientist 11y ago|0 comments
19.
Celebrating the real-time processing and analytics revival(radar.oreilly.com)
2 points by datascientist 11y ago|0 comments
20.
Bridging the divide: Business users and machine learning experts(radar.oreilly.com)
1 points by datascientist 11y ago|0 comments
21.
The (data) science of sports – a conversation with David Epstein(radar.oreilly.com)
2 points by datascientist 11y ago|0 comments
22.
The world beyond batch: Streaming 101(radar.oreilly.com)
3 points by datascientist 11y ago|0 comments
23.
Understanding neural function and virtual reality(radar.oreilly.com)
1 points by datascientist 11y ago|0 comments
24.
6 reasons why I like KeystoneML(radar.oreilly.com)
1 points by datascientist 11y ago|0 comments
25.
Why data preparation frameworks rely on human-in-the-loop systems(radar.oreilly.com)
11 points by datascientist 11y ago|1 comments
26.
Building self-service tools to monitor high-volume time-series data(radar.oreilly.com)
2 points by datascientist 11y ago|0 comments
27.
NBA (basketball) and spatio-temporal pattern recognition(radar.oreilly.com)
1 points by datascientist 11y ago|0 comments
28.
Patrick Wendell on the state of the Spark ecosystem(radar.oreilly.com)
8 points by datascientist 11y ago|0 comments
29.
Statistical and Mathematical Functions with DataFrames in Spark(databricks.com)
7 points by datascientist 11y ago|0 comments
30.
Tuning Java Garbage Collection for Spark Applications(databricks.com)
43 points by datascientist 11y ago|3 comments

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