Ikerdata

Mila esker sari honen atzean zaudeten guztioi!

Vista nuestra web: www.ikerdata.com

Estamos en B-Venture 👏🏼👏🏼

¡Empezamos!

S.L. Supported by UPV/EHU, Ikerbasque - Basque Foundation for Science, and FIC UDC A Coruña Researchers: https://www.linkedin.com/company/ikerdata/
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Providing , , , , , , , , and for , , , , , , , , and ...

S.L. CATALOG (Software) 1.0, Perturbation-Theory Machine Learning Software Studio, Click See More for Details, Click Send Message to Buy, or Contact Email: [email protected],
WHAT IT DO: Seeks Multi-Objective Predictive Models For All Classes of Data (molecular, medical, epidemiological, industrial, social, markets, ...) Based on Information Fusion Perturbation-Theory Machine Learning algorihtms developed by us.
WHAT KIND OF DATA: use as input numeric and text files (.txt, .csv, .xlsx, etc.) of multiple sources. The files contains clases of data with multiple output variables (efficiency, cost, selectivity, performance, etc....), multiple input variables (molecular descriptors, protein sequences descriptors, patients data, medical signals, medical images, market data, products characteristics, networks parameters...) files (.net, .mat, etc.). and multiple labels for each input/output variables (techniques, proteins, cell lines, tissues, organisms, populations, trademarks, companies, cities, countries, markets, ecosystems, .....
HOW IT WORKS: IFPTML = (IF + PT + ML) have 3 steps: (1) Information Fusion (IF) Step: it pre-process data from different sources and carry out data fusion and data engeneering in different formats. (2) Perturbation Theory (PT) Step: Pre-process all data numerically to calculate PT Operators (PTOs) that quantify all information of variables and their variability vs. labels. (3) Machine Learning (ML): it runs different data analysis algorithms (ANN, SVM, LDA, LOGR, RF, etc.) to seek models.
WHAT ITS FOR: IFPTML models can be used to predict at the same time multiple output properties of complex systems with different inputs and labels or experimental and environmental conditions, e.g, optimization of aactivity in assays, translation to , networks balance, prediction of networks , networks , and strategies planning, etc.
PUBLICATIONS: PubMed: https://lnkd.in/dPUFwM8
*SALES: (1) Academic License (2500 EUR), (2) Full Training (1500 EUR), (3) Industrial License (7500 EUR), (4) Long-Term Consulting for Projects (5000 EUR/Year). *Orientative Prices. Contact us: [email protected]

S.L. CATALOG (Software) 1.0, Markov Invariants for AI Predictive Study of Complex Networks, Click See More for Details, Contact Us to Buy, Email: [email protected]