Sentence examples for big data techniques and from inspiring English sources

I am looking for students with a strong interest and background in data analysis, especially with experience in big data techniques and working knowledge of R and Stata.

This negative effect is measured with big data techniques and is explained by variables such as the ratio of cultivated land and other basic local conditions.

We review five molecular systems of stress response and update 18 consensual cell cell signaling pathways that are the hallmark for early development, organogenesis, and differentiation; and revisit the principles of teratology in light of recent advances in high-throughput screening, big data techniques, and systems toxicology.

The project will help people better understand themselves and their mental health using a combination of peer-reviewed science, big data techniques, and each individual user's Instagram account.

The advances in information and communication technology (ICT) have brought a tremendous increase in the amount of data created and shared (big data), techniques, technologies, and systems to extract value from the data.

MIT has been selected from among 55 institutions that submitted 157 proposals to host a new Intel research center that will concentrate on what's come to be called "big data" — techniques for organizing and making sense of the huge amounts of information generated by Web users and networked sensors.

Also, the level of big data analytics, types of big data models and a variety of big data techniques have been reviewed and summarized.

The company was born out of the Computer Science Machine Learning department at the University of Toronto with the audacious goal of better predicting which molecules have a higher probability of being developed into approved therapeutics and medicines, all using machine learning and big data techniques.

Services like Amazon's Mechanical Turk and AskforTask make it easy to test products cheaply and big data techniques like agent based models can simulate markets.

These techniques encountered issues when successfully combined anonymization, privacy protection, and big data techniques [41] to analyse usage data while protecting the identities of users.

The main difficulty with this technique involves combining anonymization, privacy protection, and big data techniques [56] to analyze usage data while protecting the identities.