"data science learning" is correct and usable in written English.
You can use it when talking about the process of gaining knowledge in data science. For example, "My son is interested in data science, so we've been exploring data science learning together."
DataCamp wants to teach data science skills to a generation of people, and it got a million in seed money to continue developing its online data-science learning platform.
Big data, data science, machine learning and now deep learning have been slowly weaving their way into products and companies for the past decade.
The new frontiers for CMOs in the coming years will be data science, machine learning and behavioral insights, which then drives optimization and personalization.
This approach has developed out of the growing availability of data and, in parallel, of methods from data science, machine learning and computational intelligence [48].
At the time, founder and CEO Jorn Lyseggen talked up the potential to beef up the company's data science, machine learning, and natural language processing capabilities by acquiring startups in the space that have "proven technology".
Companies already have the answer to the problem in the data science, machine learning and artificial intelligence technologies they're likely using in other parts of the business.
This structure works well because the data science organization learns how to attract and recruit data science teams, but allows data scientists to work closely with those who have context on the problems they're working on.
The service is basically the de facto home for running data science — and machine learning — competitions.
Meanwhile, Trooly can figure out much more about someone and do it quickly using data science and machine learning.
The round will be used to build its tech platform and hire experts in data science and machine learning.
As you know, RelateIQ is pioneering the next generation of intelligent computing through data science and machine learning.
