With large scale of data, it may be impossible to spot out patterns and relationships without advanced statistical analyses. Knowing the relationship of factors can help strategic planing and more efficient business operations. We offer analyses to reveal relationship by various analyses, such as correlation, clustering, factoring, principal component, bayesian probability, and predictive modeling.
Predictive modeling involves a series of data analyses. Data quality and aggregated levels and measurements are make huge senses to achieve business goals and reach model qualities in prediction and detections. Good models are more powerful in predicting future events and detecting anomalies. We offer predictive modeling and apply models to generate predictions, reveal insights, and deliver strategies for businesses.
Specially designed statistical algorithms can automatically compute data to achieve optimal model fit through hundreds of iterations. Many factors effect on quality of models. We offer services in developing machine learning algorithms and use models to develop smart solutions for strategic planning and intelligent business apps.
In real world, many things happen due to existences of others. We have pre-developed algorithms automatically computing Bayesian probabilities as well as correlations on large scale of data. Bayesian probability and correlations can be used for developing business strategies for greater operation efficiencies and smarter decisions.
Many things behave or appear in their certain ways. Pattern recognition is to identify patterns and find causes by progressively computing processes based on large amounts of data. We develop specific algorithms to automatically recognize hidden patterns, and develop strategies to prevent unwanted events.
Our neural network based image classification modeling process can automatically train models and use the models to detect target objects in the images. We are pleased to work with companies for image classification modeling and image classification projects.
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