Examples of using Machine-learning algorithms in English and their translations into Chinese
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For now, the machine-learning algorithms are based on data from hospital admissions.
Such systems were developed using relatively uncomplicated machine-learning algorithms.
Building real-world machine-learning algorithms is complex and highly iterative.
These so-called adversarial examples may seem like a strange area of research,but they can be used to stress-test machine-learning algorithms.
Panda was developed using machine-learning algorithms based on human quality ratings.
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The online tool is currently limited to querying this data set,but Lemberger and his colleagues are training machine-learning algorithms on it.
You can write your machine-learning algorithms using Python, and it works very well.
Eventually, Clutter wants tolet clients catalog their stuff via video so that machine-learning algorithms can prepare an automated estimate.
Consider machine-learning algorithms, the most important general-purpose technology in use today.
You don't really need to invest in any of the machine-learning algorithms as you just need to upgrade your skills.
Over the next decade, academia, industry and national labs should work together to develop quantum simulation andquantum machine-learning algorithms.
You can, for example, add machine-learning algorithms to optimize the performance and maintenance of your turbine.
Over the next decade, academia, industry and national labs should work together to develop quantum simulation andquantum machine-learning algorithms.
You don't need to invest in any of the machine-learning algorithms as you need to upgrade your skills.
Machine-learning algorithms let the programs navigate chemical space using these rules and suggest to the user possible ways to synthesize a target molecule.
Ethical issues, such as the problem of hidden biases in machine-learning algorithms, are also a key part of the AI curriculum.
Io-Tahoe uses machine-learning algorithms to go through each data element in a dataset and determine the specific relationship.
Commercial airplanes rely heavily on autopilot, but the autopilot software is consideredprovably safe because it does not rely on machine-learning algorithms.
We can see the influence of machine-learning algorithms in social media, web search engines, mobile device spell checkers and self-driving cars.
It describes the use of neural networks in machine learning: deep learning, recurrent networks,and other supervised and unsupervised machine-learning algorithms.
We found a way to use machine-learning algorithms to design powerful nanomedicines that can deliver a stronger, safer, more personalized punch.
For example, Microsoft funds research on the analysis ofenvironmental data using cloud computing and machine-learning algorithms, through its AI for Earth programme.
Recently Walsh and her team created machine-learning algorithms that predict, with unnerving accuracy, the likelihood that a patient will attempt suicide.
Google is on the third generation of its chips, which power machine-learning algorithms, making it cheaper to operate services such as voice recognition.
It then uses machine-learning algorithms to break the brain signal down into different frequencies and connect particular thoughts with spikes in different frequencies.
In addition,user and entity behavior analytics using contextual analysis and machine-learning algorithms will deliver real-time monitoring and active protection for internal systems.
Walsh and his colleagues have created machine-learning algorithms that predict, with unnerving accuracy, the likelihood that a patient will attempt suicide.
Predictive analytics refers to the use of statistical tools and machine-learning algorithms to identify past occurrences, understand present outcomes and predict future consequences.
Both Ceder and Curtarolo are trying to develop machine-learning algorithms to extract rules from known manufacturing processes to guide the synthesis of compounds.