Remove 2021 Remove Hypothesis Testing Remove Natural Language Processing
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The 2021 Executive Guide To Data Science and AI

Applied Data Science

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Case-studies from real-life business scenarios and advice you can act on.

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Rethinking Large Language Models for NLP: Alternatives and Efficiency

Mlearning.ai

Photo by Google DeepMind on Unsplash Introduction Large language models, or LLMs, are powerful deep learning algorithms that are capable of a range of tasks, including recognizing, summarizing, translating, predicting, and generating text and other content. They made a hypothesis testing with the Chinchilla model. Munguia, L.-M.,

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How Data Science and AI is Changing the Future

Pickl AI

Bureau of Labor Statistics predicts that employment for Data Scientists will grow by 36% from 2021 to 2031 , making it one of the fastest-growing professions. AI encompasses various subfields, including Machine Learning (ML), Natural Language Processing (NLP), robotics, and computer vision. Furthermore, the U.S.

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly Media

The government of the Netherlands resigned in 2021 after an algorithmic system wrongly accused 20,000 families–disproportionately minorities–of tax fraud. For the LLM and NER task, BNH.AI ’s audit plan required demographics associated with entities in raw text, and possibly text in multiple languages. Data can be wrong.

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