Google's open-source Meridian helps marketers build better models, understand lift by channel and finally bring sanity to ...

Small and medium enterprises can cut costs and boost innovation by building strong data foundations for digital twins instead ...

For organizations investing in AI agents today, interoperability is going to matter more with each passing quarter.

Managers of data warehouses of big and small companies realise this sooner or later, that having vast tables of numbers and ...

It is commonly known among Data Scientists that data cleaning and preprocessing make up a major part of a data science project. And, you will probably agree with me that it is not the most exciting ...

Most data products fail not because of bad data – but because nobody uses them. Here's how to build tools that actually drive ...

T hanks to its innovative approach to extracting information from notes, documents, PDFs, and online sources, NotebookLM has ...

Unstructured big data has no particular format or structure and can be in any form, such as text, audio, images, and video. In this paper, we address the challenges of emotion and sentiment modeling ...

A targeted resource for mastering Scikit-Learn, featuring practice problems, code examples, and interview-focused machine learning concepts in Python. Covers model building, evaluation, and ...

But as AI systems grow in power, so too do the threats targeting their foundations, including a particularly insidious category: data and model poisoning.

the AI model of their choice, and their own data. A retailer could use NLWeb to create a chatbot that helps users choose clothing for specific trips, for example, while a cooking site could use it ...