What is Transfer Learning?
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target
Artificial Intelligence ( AI ) has been one of the most recurrent topics of conversation and analysis in companies in recent years, especially among those
Tim Ensor, director of artificial intelligence at Cambridge Consultants, part of Capgemini Invent, wonders whether machines powered by AI will learn as naturally as children
The industry as a whole is beginning to realize the intimate connection between Artificial Intelligence and its less heralded, yet equally viable, knowledge foundation. The
Despite the widespread application of analytics dashboards and data-driven KPIs across the C-suite, most senior marketing teams are utilizing data primarily for backward-looking analysis to
Modern organized enterprises recognize that the adoption of a data-driven strategy is crucial to compete in an increasingly digitalized market. Data and analytics have become
Modern organized enterprises recognize that the adoption of a data-driven strategy is crucial to compete in an increasingly digitalized market. Data and analytics have become
Modern organized enterprises recognize that the adoption of a data-driven strategy is crucial to compete in an increasingly digitalized market. Data and analytics have become
Companies today are struggling to manage their sprawling data estates, and to minimize the risks that they pose. Vendors are furiously building tools to help
Industry 4.0 has become more than a buzzword in the world of manufacturing; it’s the new reality. A reality that has been accelerated by the
For many years now, becoming a data scientist has been the goal for many. Billed as the hottest role of the 21st century, data scientists
What does it take to be a successful data scientist? When we put this question to data science leaders at four tech companies representing a