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eDiscovery: Unlocking the Power of AI in Document Review

Data Science Dojo

Anyhow, with the exponential growth of digital data, manual document review can be a challenging task. Hence, AI has the potential to revolutionize the eDiscovery process, particularly in document review, by automating tasks, increasing efficiency, and reducing costs. The model can review and categorize new documents automatically.

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Book Review: A Hands-on Introduction to Machine Learning

insideBIGDATA

I was pleased to receive a review copy of this new title from Cambridge University Press, "A Hands-on Introduction to Machine Learning." The hardcover book is very attractive, well-produced and solid! It will weigh down your backpack for sure.

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Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments

ML @ CMU

Alexander Goldberg , Ivan Stelmakh, Kyunghyun Cho, Alice Oh, Alekh Agarwal, Danielle Belgrave, and Nihar Shah Is it possible to reliably evaluate the quality of peer reviews? We study peer reviewing of peer reviews driven by two primary motivations: (i) Incentivizing reviewers to provide high-quality reviews is an important open problem.

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CES 2024: A Review of the Top 10 Innovations of Day 2

Analytics Vidhya

Rabbit R1 which can Replace Smartphones The Rabbit R1, priced at $199, is not just a device; it’s […] The post CES 2024: A Review of the Top 10 Innovations of Day 2 appeared first on Analytics Vidhya. From revolutionary AI assistants to immersive VR experiences, here are the top 10 breakthroughs that stole the spotlight.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind.

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Top 8 AI Trends of 2023: A Year in Review

Analytics Vidhya

2023 wasn’t merely a year of progress; it was a year of triumphs, a year where the boundaries of what AI can achieve were repeatedly pushed and reshaped. […] The post Top 8 AI Trends of 2023: A Year in Review appeared first on Analytics Vidhya.

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Book Review: Math for Deep Learning

insideBIGDATA

One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is "Math for Deep Learning" by Ronald T. Kneusel from No Starch Press. If you're interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.