Data science is a team sport: Oracle’s new cloud platform provides the playing field paid Oracle
When you think about data science, you might picture a PhD mathematician magically swirling data on a laptop until it reveals its secrets. But really, data science is a team effort.to happen, someone’s got to find and prepare datasets—which can include any piece of information, such as a location, a name, an item in a warehouse, a person’s age, a social media comment, a timestamp, or an attribute of a picture.
. The new services make it easier for data science teams to collaboratively build, train, and deploy machine learning models. “Our goal is to increase the success of data science projects,” Pavlik says. “Data scientists are experimenters. They want to try stuff and see how it works,” says Pavlik. “They grab sample datasets, they pull in all kinds of open source tools, and they're doing great stuff. What we want to do is let them keep doing that, but improve their productivity by automating their entire workflow and adding strong team support for collaboration to help ensure that data science projects deliver real value to businesses.
“Effective machine learning models are the foundation of successful data science projects,” Pavlik says, but the volume and variety of data facing data science teams “can stall these initiatives before they ever get off the ground.” So Oracle Cloud Infrastructure Data Science gives the team a powerful platform to develop, train, and share machine learning algorithms, including:automates the process of running tests against multiple algorithms and hyperparameter configurations.
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