Analytics and ML Layer Sample Clauses

Analytics and ML Layer. The three-layered structure from Bronze to Gold layers provides a simple and understandable data model. Thus, it empowers easy use of business intelligence tools on top of the gold layer to obtain actionable insights and guide decision-making. It also facilitates implementation of Machine Learning (ML) algorithms capable of solving complex and non-linear problems. ML is a field of artificial intelligence that focuses on the study, development and use of computer algorithms that can learn from data and make predictions or decisions without using explicit instructions. Huge expansions of ML techniques in last years, led to its use in everyday life. Among many ▇▇▇▇▇▇, ▇▇ was applied to natural language processing, computer vision, speech recognition, self-driving car, urban mobility, and medicine. Analytics and ML layer plays a crucial role in the context of big data, where the abrupt volume of data makes it difficult for humans to understand and work with it. Analytics and ML algorithms can help overcome these challenges by obtaining data from data lake and automatically detecting patterns, which allows obtaining valuable predictions and insights. In AMIGOS, Analytics and ML layer will be used in the tasks defined in WP3. For example, ML algorithms will be implemented to optimize public transport based on the supply and demand, as well as decrease traffic congestions leading to air and noise pollution improvements, as described in Subtasks 3.1.2 and 3.3.1., respectively. In the following subsection tools, technologies and processes are explained.