DATA

→ View original post on X — @datarobot

DataRobot Wins Best Feature Set Value Price Awards

By

@datarobot

–

01 February 2023 19h27

We are thrilled to receive the following awards from @TrustRadius
: Best Feature Set Best Value for Price Best Relationship Thank you to all our customers who submitted reviews! See what they had to say: https://
trustradius.com/products/datar
obot/reviews#overview
…

→ View original post on X — @fogoros

DataOps Implementation Guide for Enterprise Data Management

By

@fogoros

–

01 February 2023 19h00

DataOps is the future of data management. Learn how to implement it in your organization with this comprehensive eBook from @HighByteInc
: http://
ow.ly/bglp50MGLgI @iiotjeremy @andi_staub @ingliguori via @fogoros #sponsored #highbyte_iiot #iiot #DataOps #DataManagement #IOTSWC23

→ View original post on X — @databricks

SQL User-Defined Functions Enhanced with New Features

By

@databricks

–

01 February 2023 17h20

Just when you think that #SQL user-defined functions can’t get any better, they do Check out the new enhancements that make SQL user-defined functions more powerful and user-friendly, including new default parameters, #UnityCatalog support, and more! https://
dbricks.co/3XUeXVR

→ View original post on X — @fogoros

Quality Control in Manufacturing: Using Data to Improve Programs

By

@fogoros

–

01 February 2023 15h03

Quality Control in #Manufacturing: Using #Data to Improve Your Quality Program http://
ow.ly/4XXC50M19qC @ingliguori @GregorianCT1 via @fogoros #sponsored #MM_IIoT #manufacturing #data #digitaltransformation #industry40 #industrialiot #iiot #manufacturingindustry #mfg

Unbiased Algorithms in Differential Privacy Research

By

–

01 February 2023 14h55

BONUS TWEET Be sure to also check out this other paper posted at the same time, by @thesasho and Haohua Tang, also focused on unbiased algorithms in differential privacy. Despite similarities in the titles, the settings are mostly different. https://
arxiv.org/abs/2301.13850 9/8

Differential Privacy Limitations for Gaussian Distribution Estimation

By

–

01 February 2023 14h55

But we also show that pure (epsilon, 0)-DP is hopeless, even for really simple classes like Gaussians, and that the delta in approx DP is needed to perform unbiased estimation. 7/n

Privacy-Bias-Variance Trilemma in Mean Estimators

By

–

01 February 2023 14h55

Our main result: no. There is a *trilemma* between privacy, bias, and variance of a mean estimator: essentially, one can not simultaneously have strong privacy, low bias, and low variance. This shows the clip-and-noise algorithm is optimal. 5/n

Unbiased Estimators for Symmetric Distributions

By

–

01 February 2023 14h55

So that's sad. Is there any hope for special cases? If we happen to know the underlying distribution is symmetric, then *yes*, we can get unbiased estimators. 6/n

Unbiased Estimators: Better Algorithms for ML

By

–

01 February 2023 14h55

This can be undesirable in a number of settings, when unbiased estimators are preferred. E.g., then we can compute the statistic multiple times on independent datasets and average them to reduce error. Natural question: are there better algorithms with no (or low) bias? 4/n