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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

Data scientist As companies embrace gen AI, they need data scientists to help drive better insights from customer and business data using analytics and AI. The role of algorithm engineer requires knowledge of programming languages, testing and debugging, documentation, and of course algorithm design.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

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The Cloud Connection: How Governance Supports Security

Alation

They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. These factors risk data originating in far-flung environments, where the data structures and semantics are not well understood or documented. On-premises business intelligence and databases.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. For example, even though ML and ML-related concepts —a related term, “ML models,” (No. 40; it peaked at Strata NY 2018 at No.

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