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機械学習モデル
With our 2019 release, we've given our customers the ability to employ customized machine-learning models and to train them using their own specific data sets.
These algorithmic solutions overcome die-size-imposed limits to computation power and memory size, with efficient machine-learning models for the sensors that extend system battery life.
Take full advantage of your prepared data anywhere you need it Do you want to use the cleaned data to run machine-learning models or any other data science use cases?
The Excluded from Machine Learning setting doesn't factor in future email and events associated with a particular person into machine-learning models and third-party data enrichment.
Instead of using a Qualcomm chip like nearly every other Android phone, these phones run on a Tensor chip, which has been custom-built by Google to efficiently run sophisticated machine-learning models without needing to rely on a cloud server.
I've included an example from our public roadmap on the right, which illustrates the work we're currently doing for our next release to support custom machine-learning models for popular AI engines like Google Vision and Amazon Rekognition.Still not transparent enough for you? We also publish performance benchmarks for all of our product releases and for our weekly continuous integration updates.
Now by leveraging Qlik's open platform, extension technology and the open source Qlik DataRobot connector, DataRobot allows Qlik users to develop and democratize machine-learning models.
Machine-learning models with high predictive power can rapidly screen large compound collections in silico to prioritize compounds for resource-intensive experimental follow-up.
For example, it has machine-learning models for many variants of "force majeure," which means unforeseen circumstances that could prevent a party from fulfilling its contractual obligations.
In addition, he says, it's important for machine-learning models to learn by experimenting with unsafe situations, such as two robots colliding, which cannot be done with real hardware.
The platform enables fleets such as car rental companies, leasing fleets, car sharing platforms, taxi operators, etc. to optimize existing operations and dynamically leverage unutilized vehicles to open new on-demand business models such as ride-hailing/pooling and delivery.The platform leverages advanced machine-learning models to enable fleets to maximize utilization and operational efficiency with their existing pool of vehicle assets.We are active in over 10 countries, optimizing tens of thousands of vehicles, for leading mobility operators such as Avis Budget Group, Zipcar, Keolis, and Suzuki.
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Synoniemen voor machine-learning models in het Engels