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New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

To demonstrate the potential new content structure being implemented on an existing visualisation reference page, here’s an example provided for Bar Charts : Bar Chart. Journal of Experimental Psychology: Applied, 4 (2), 119–138. Other names: Bar Graph, Bar Plot. Functions: Comparisons, Rankings Encodings: Length. Description.

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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

To learn more about semantic search and cross-modal search and experiment with a demo of the Compare Search Results tool, refer to Try semantic search with the Amazon OpenSearch Service vector engine. To learn more, refer to Byte-quantized vectors in OpenSearch. With the new byte vector feature in OpenSearch Service version 2.9,

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Forging a framework for central bank digital currencies and tokenization of other financial assets

IBM Big Data Hub

Today, more than 130 central banks are actively exploring CBDCs and publishing periodic reports on the functional and non-functional requirements of CBDC platforms, including the evolving architectural considerations and the outcomes of their various CBDC experimentations. Payment transaction privacy is also important.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Recently published research papers show the danger of describing your AI systems as autonomous. The experimenters simulated experiences in online travel and online dating, varying the time people waited for a search result. This effect is referred to as operational transparency. The Danger of Describing Your AI as Autonomous.

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What you need to know about product management for AI

O'Reilly on Data

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

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Methods of Study Design – Experiments

Data Science 101

Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV. Bias can cause a huge error in experimentation results so we need to avoid them. REFERENCES. Unbiasedness: This has been discussed before. McCabe & B.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

accounting for effects "orthogonal" to the randomization used in experimentation. For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it.