Machine Learning and Data Science
As our customers look for solutions to accelerate modernization efforts, Machine Learning and Data Science advancements will enhance operations and mission effectiveness. Our key strengths are innovative solutions and expertise in supervised and unsupervised machine learning algorithms to tackle challenging computer vision and image understanding problems. Key areas of focus include Deep Learning, Computer Vision, Image Processing, Video Understanding, Pattern Recognition, Data Mining and Data Analytics.
Machine Learning and Data Science approaches accelerate data and time intensive tasks
Machine Learning and Data Science approaches automate repetitive or complex tasks
Machine Learning and Data Science approaches can tackle complex problems that are too difficult for humans
A machine learning technique to understand the relationship between independent variables or features and a dependent variable or outcome when the need is to predict numerical values.
A machine learning process that recognizes, understands, and groups objects and ideas into different categories.
A machine learning technique which groups unlabeled datasets, used to categorize data points in similar groupings or clusters.
A machine learning algorithm that identifies data points that don't fit normal patterns, used to find the outliers in the dataset.
A machine learning algorithm to order the results of a request or a query based on some criteria.
A machine learning algorithm that uses Big Data to suggest or recommend additional products to consumers.