Remove 2008 Remove Measurement Remove Reporting Remove Statistics
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Reclaiming the stories that algorithms tell

O'Reilly on Data

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes.

Risk 355
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Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services!

Smarten

It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

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Data Observability and Monitoring with DataOps

DataKitchen

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors. Week after week, it is measured with a million rows.

Testing 214
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Brand Measurement: Analytics & Metrics for Branding Campaigns

Occam's Razor

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." It is criminal not to measure your direct response campaigns online. I also believe that a massively under appreciated opportunity exists to truly measure impact of branding campaigns online.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. For this simple vignette, we might regard $X_1$ and $X_2$ as errors from a measuring scale and note that $X_2$ is not as precise an instrument as $X_1$.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. This is similar to recommendations made in a recent report released by The Future of Privacy Forum and Immuta (their report is specifically focused on ML). Image by Ben Lorica.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. 2008 – Financial crisis : scientists flee Wall St. They tend to use less machine learning, but more advanced statistical practices, since the outcomes (government policies, etc.)