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With modern advancements in artificial intelligence, we can teach computers to achieve super-human performance in retro videogames.
Technological advancements in connectivity and global positioning systems (GPS) have led to increased data tracking and related business use cases to analyze such movements. Whether analyzing a vehicle, an animal or a population's movements - each use case requires analyzing underlying spatial information. Global challenges such as virus outbreaks, deforestation
SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using the Microsoft Power Platform for a better customer experience.
SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using APIs for a better customer experience.
With the SAS Visual Data Science Decisioning (VDSD) trial, you get the ultimate analytics experience with free access to all SAS Viya analytic capabilities for 14 days. SAS Visual Data Science Decisioning provides the ultimate experience covering the entire analytics lifecycle – from managing data, developing models, and deploying models to take decisions.
With the release of SAS Viya 2020.1.4, text categories and concept models can now be deployed into production with just a few clicks and used to score data in-batch and via API! You can also now use these models in decision flows.
A few months ago, I published an article about network optimization and how to find an optimal tour when visiting multiple places of interest by using different types of transportation, like buses, trains, tram, metro, and even walking. For a real-world case, I decided to run these optimal tours in
A good public transportation system is crucial to develop smart cities, particularly in great metropolitan areas. Network optimization algorithms can be applied to better understand urban mobility, particularly based on a multimodal public transportation network.
In this article, we summarize our SAS research paper on the application of reinforcement learning to monitor traffic control signals which was recently accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada. This annual conference is hosted by the Neural Information Processing Systems Foundation, a non-profit corporation that promotes the exchange of ideas in neural information processing systems across multiple disciplines.
This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should
