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Boosting in Machine Learning: Definition, Functions, Types, and Features

Analytics Vidhya

As a result, in this article, we are going to define and explain Machine Learning boosting. The post Boosting in Machine Learning: Definition, Functions, Types, and Features appeared first on Analytics Vidhya. Numerous analysts are perplexed by the meaning of this phrase.

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Liquid Neural Networks: Definition, Applications, & Challenges

Unite.AI

Hence, it becomes easier for researchers to explain how an LNN reached a decision. The post Liquid Neural Networks: Definition, Applications, & Challenges appeared first on Unite.AI. Hence, LNNs don’t require vast amounts of labeled training data to generate accurate results. For more AI-related content, visit unite.ai

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What is SUBSTRING Function in SQL? [ Explained with Examples]

Analytics Vidhya

SUBSTRING Function in SQL: Definition, syntax application, examples, use cases, difference between Substring and CharIndex functions in SQL.

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Book Review: “The Definitive Guide to Generative AI for Industry” by Cognite

Unite.AI

Here, “The Definitive Guide to Generative AI for Industry ” truly shines. The book starts by explaining what it takes to be a digital maverick and how enterprises can leverage digital solutions to transform how data is utilized. The solutions it presents bring us closer to a world of fully autonomous operations.

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Explainable AI: Thinking Like a Machine

Towards AI

Alongside this, there is a second boom in XAI or Explainable AI. Explainable AI is focused on helping us poor, computationally inefficient humans understand how AI “thinks.” First bringing together conflicting literature on what XAI is and some important definitions and distinctions.

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Juliette Powell & Art Kleiner, Authors of the The AI Dilemma – Interview Series

Unite.AI

One of the most significant issues highlighted is how the definition of responsible AI is always shifting, as societal values often do not remain consistent over time. Can focusing on Explainable AI (XAI) ever address this? For someone who is being falsely accused, explainability has a whole different meaning and urgency.

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Chuck Ros, SoftServe: Delivering transformative AI solutions responsibly

AI News

. “Our AI engineers built a prompt evaluation pipeline that seamlessly considers cost, processing time, semantic similarity, and the likelihood of hallucinations,” Ros explained. It’s obviously an ambitious goal, but it’s important to our employees and it’s important to our clients,” explained Ros.

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