Sentence examples for data science computer from inspiring English sources

Many will focus on digital skills, such as data science, computer science and cybersecurity.

However, now farmers can use products built upon expertise in data science, computer vision and machine learning.

This involves the application of a set of integrative foundational elements drawn from urban planning, urban design, sustainability, sustainable development, sustainability science, data science, computer science, complexity science, systems theory, systems thinking, and ICT.

He has been a thought leader and pioneer in the area of applying computer and data science to biomedical research.

The learnings they've had in their careers in computer and data science can be applied to cancer research.

The result is a new, interdisciplinary field called "data science"—a fusion of statistics, computer science, and analytics in which researchers analyze large quantities of data, identify meaningful trends, and then find a way to exploit the resulting knowledge.

Nowadays to explore and examine data from a variety of angles to tackle Big Data problems, to devise data-driven solutions to the most pressing challenges, it is necessary to build multidisciplinary students' skills set for innovative methods not only for master's in Data Science programs but in traditional Computer Science programs also.

This is increasingly fueled by new discoveries in computer science and data science, coupled with the quick-paced ubiquity and massive use of computational and data analytics within a variety of urban domains to address the complex challenges of sustainability and urbanization facing the city.

In its simple mathematical models of networks of neurons, we find an anticipation of today's work in neural networks and the larger area of machine learning, which is a part of robotics, data science, and other applications where computer-driven machinery is continually updating its decision processes based on new input.

I create models that will help find out how people will interact with computers, and these are based on social science, computer science, statistical data, and even some science fiction.

The project team was formed of twelve specialists, some with expertise in two or more disciplines, including: archaeology, art history and museology, conservation and heritage science, chemistry and electrochemistry, mechatronics and engineering, metrology, computer science, computer graphics and data processing.