Analytics Vidhya

NOVEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Transformers are foundational models that brought a massive revolution in the AI domain. The sheer scale and purview of foundation models in recent years have outpaced our expectations for what is feasible. Given this, it is imperative to prepare this topic […].

Data Science 271

Data Science Modeling Publishing Analytics 271

CIO Business Intelligence

NOVEMBER 11, 2022

Three years ago, Johnson & Johnson (J&J) set out to apply intelligent automation (IA) to every aspect of its business. As the global COVID-19 pandemic was beginning to spread, the company, one of the world’s largest suppliers of pharmaceuticals, medical devices, and consumer packaged goods, needed to reduce costs, speed up tasks, and improve the accuracy of its core business operations.

Data Integration 120

Data Integration Strategy Machine Learning Technology 120

KDnuggets

NOVEMBER 11, 2022

This post elaborates on various factors that go into consideration while prioritizing various AI initiatives.

Strategy 110

Strategy 110

Dataiku

NOVEMBER 11, 2022

At the global level, a lot of work is being done to pivot from the years’ worth of principles-based discussions around AI Governance and Responsible AI into practical approaches. Actionability is critical for principles-based discussions to have a material impact on organizations, their employees, and end users. And so, in this blog, we’ll cover at a high level what we see as the first part of moving from principles to practice: taking principles and translating them into actionable criteria.

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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KDnuggets

NOVEMBER 11, 2022

Learn the math behind matrix multiplication for data science and machine learning with code examples.

Machine Learning 108

Machine Learning Data Science 108

KDnuggets

NOVEMBER 11, 2022

A simple explanation and implementation of DTs ID3 algorithm in Python.

Machine Learning 110

Machine Learning 110