LIONoso is a comprehensive Machine Learning and Intelligent Optimization tool for non-profit research and academic use. LIONoso is the ideal tool for the rapid development of prescriptive analytics application.
Allow learning from data
Allow machine learning and optimization
Provide solution to healthcare
Allow research and development
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
LIONoso is a comprehensive Machine Learning and Intelligent Optimization tool for non-profit research and academic use. LIONoso is the ideal tool for the rapid development of prescriptive analytics application.In addition to the ML and optimization tools, advanced users adopt it for orchestrating heterogeneuos components. Orchestration deals with automating processes, with the arrangement, coordination, and management of complex software components connecting data, experiments, simulators, models, decisions. LIONoso is a machine learning and intelligence optimization tool. The tool is targeted for academic use and for nonprofit organizations. Researchers can get their work done through this tool. It helps in the quick development of prescriptive analytics application. The software can deliver quality work for researches and can work effectively and efficiently in an academic environment. Some users may use the software for orchestrating components that are heterogeneous. It helps in automating processes and tasks. It enables integrating of complex software components. It connects and integrates data, simulators, and modals and so on. The tool is designed for effective and efficient delivery of tasks and operations. The software can connect and integrate data bases. It can connect and organize complex workflows too. The software classifies and categorizes external modals and data factories. They are classified as online documentation and LIONinterface zip. It extracts data from various sources. Data is then converted to information or knowledge. Based upon this actions and strategies can be formulated accordingly. The software allows reactive optimization. It provides solution to various research areas. The software uses raw data to construct modals. The software uses knowledge to develop solutions. Decisions and actions are guided by the results presented by the software. The software allows machine learning coupled with optimization features. It allows learning outcomes from data extracted. It delivers solutions for bioinformatics and healthcare. The software promotes industrial research and development. The software has been developed by a team of experts. The company provides different solutions targeted to healthcare and businesses. In business it helps in reduces cost. It improves healthcare conditions too.
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.