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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

This blog post discusses such a comprehensive approach that is used at Youtube. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. And we can keep repeating this approach, relying on intuition and luck.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

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What Are ChatGPT and Its Friends?

O'Reilly on Data

There are more that I haven’t listed, and there will be even more by the time you read this report. That statement would certainly horrify the researchers who are working on them, but at the level we can discuss in a nontechnical report, they are very similar. Personal conversation, though he may also have said this in his blog.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. This is not that. I took this tangent for two reasons.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Challenges for Transparency ”. Riccardo Guidotti, et al.

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The History of Malware: A Primer on the Evolution of Cyber Threats

IBM Big Data Hub

1971: Creeper worm Just five years after John von Neumann’s theoretical work was published, a programmer by the name of Bob Thomas created an experimental program called Creeper, designed to move between different computers on the ARPANET , a precursor to the modern Internet.

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