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Data science platforms News
April 17, 2019
Splice Machine's AI management software ML Manager, shown at Spark + AI Summit 2019, enables users to update their machine learning models with up-to-date data from varied sources.
April 08, 2019
On the eve of Google Cloud Next '19, experts assess the impact of Google's BigQuery ML since its release and their hopes for the automated machine learning tool's future.
April 01, 2019
Machine learning platforms can bring the lone data scientist into the overall workflow. Updates to tooling also let that data scientist use familiar development interfaces.
February 26, 2019
The DataRobot acquisition of Cursor will see DataRobot incorporate unified search and data collaboration tools into DataRobot's automated machine learning platform.
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Data science platforms include a variety of technologies for machine learning and other advanced analytics uses. This handbook examines them and how they can be used. Continue Reading
The emergence of AI-as-a-service tools is helping more enterprises access the benefits of AI, not just the leading-edge tech companies that pioneered the technology. Continue Reading
AI-powered automated advertising is being utilized to connect consumer to products, leading to more sales. Simply put: Hyperpersonalized content is taking over the ad space. Continue Reading
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Looking to AI to automate more of your processes? Don't overlook the labor that's still needed to prepare data for training machine learning and AI algorithms. Continue Reading
Data scientists can choose from a growing list of commercial and open source platforms that ease data access, analytics, model building and management in a collaborative way. Continue Reading
StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier. Continue Reading
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AI security hasn't been the top concern of most data scientists using machine learning. But as these systems move closer to the core of the business, security is becoming critical. Continue Reading
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To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics. Continue Reading