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An Accurate Approach to Data Imputation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential.

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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? The final article in this series will be devoted to debugging.).

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly on Data

This article introduces the basics of AI audit, through the lens of our practical experience at BNH.AI , a boutique law firm focused on AI risks, and shares some general lessons we’ve learned from auditing sophisticated deepfake detection and LLM systems. t -, x 2 -, binomial z -, or Fisher’s exact tests).

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EU Cookie / Privacy Laws: Implications On Data Collection And Analysis

Occam's Razor

The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Web Data Collection Context: Cookies and Tools.

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Decision-Making in a Time of Crisis

O'Reilly on Data

I recalled this mindful use of language when I recently had a COVID-19 test and the doctor reported “the test did not detect the presence of COVID-19,” instead of “the test came back negative.” For example, in different conversations, I told several friends that my COVID-19 test had come back negative.

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now! Source: [link].

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

In the ever-evolving and increasingly competitive global e-commerce sector, businesses that strive to achieve and maintain high conversion rates face the pressing, yet necessary, task of harnessing the potential of accessible data. Analyzing these metrics will shed light on any barriers, which helps you reach your sales goals.