Remove research-areas data-mining-and-modeling
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Tnt-LLM: A Novel Machine Learning Framework that Combines the Interpretability of Manual Approaches with the Scale of Automatic Text Clustering and Topic Modeling

Marktechpost

The term “text mining” refers to discovering new patterns and insights in massive amounts of textual data. Then, to train a machine learning model for text classification, one must collect human annotations on a small number of corpus samples using this taxonomy. you must perform it all over again.

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Umbar Shakir, Gate One: Unlocking the power of generative AI ethically

AI News

Ahead of this year’s AI & Big Data Expo Global , Umbar Shakir, Partner and AI Lead at Gate One , shared her insights into the diverse landscape of generative AI (GenAI) and its impact on businesses. “GenAI now can take your customer insights to another level.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Researchers from Columbia University Unveil Hierarchical Causal Models: Transforming the Analysis of Nested Data for Enhanced Causal Understanding

Marktechpost

In advanced computing, the focus intensifies on creating more efficient data processing techniques. The modern world, increasingly reliant on data for decision-making, demands methods to swiftly and accurately interpret vast and complex datasets.

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AI2 and Microsoft use satellite images plus artificial intelligence to monitor the planet

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Satlas’ AI modeling software improves satellite image resolution by a factor of four. The Allen Institute for AI, also known as AI2, recently rolled out Satlas , a new software platform for exploring global geospatial data generated from satellite imagery. Training the model was no easy task. meters per pixel.

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Google and MIT Researchers Introduce Synclr: A Novel AI Approach for Learning Visual Representations Exclusively from Synthetic Images and Synthetic Captions without any Real Data

Marktechpost

Raw and frequently unlabeled data can be retrieved and organized using representation learning. The ability of the model to develop a good representation depends on the quantity, quality, and diversity of the data. In doing so, the model mirrors the data’s inherent collective intelligence.

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Can Synthetic Clinical Text Generation Revolutionize Clinical NLP Tasks? Meet ClinGen: An AI Model that Involves Clinical Knowledge Extraction and Context-Informed LLM Prompting

Marktechpost

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). For instance, clinical texts might confuse ordinary NLP models since they are frequently filled with acronyms and specialized medical terminology.

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