Examples of using As machine learning in English and their translations into Chinese
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Political
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Programming
Using this, we can communicate directly or indirectly with machines by training them, which is known as Machine Learning.
As machine learning is deployed in more areas of life, this issue will become more important, and will raise serious ethical concerns.
These breaches- and the search for their solutions- will also boost other technologies, such as machine learning.”.
As machine learning gets deployed in mission-critical situations, reproducibility and the ability to estimate error become essential.
IoT Platforms also typically include custom integrated analytics solutions, incorporating both batch and real-time analytics as well as machine learning and rules.
As machine learning infiltrates society, scientists are trying to help ward off injustice.
The central bank's primary focus, however, will be on the adoption of new technologies such as machine learning, process automation, and blockchain technology.
As machine learning takes its place in many recent advances in science and technology, the interpretability of machine learning models grows in importance.
The team at Oak Ridge says Summit is the first supercomputer which can run AI processes, such as machine learning and neural networks.
As machine learning and AI increasingly embed themselves in our lives, the rewards for learning how to trick them will likely outweigh the costs.
Predictive analytics technology can help your organization predict future outcomes based on historical data and analytical techniques such as machine learning.
In the future, as machine learning continues to evolve, AI may be integrated into social media in the following forms.
As machine learning models have become a focal point for data science projects, adopted tools must support full model management.
Azure's predictive Analysis Services such as Machine Learning, Power BI, and Stream Analytics have redefined the basics of decision making.
All that said, as beneficial as machine learning can be, humans shouldn't hand over total control.
Azure's predictive analytics services such as Machine Learning, Power BI and Stream Analytics are redefining business intelligence.
As machine learning techniques have surpassed the traditional algorithmic approaches for classification, machine intelligence has quickly taken over and been deployed by these firms.
The problem is, there exist innumerable initial common points of reference for a topics such as machine learning.
Today, that future is here, as machine learning-- especially in the cloud-- becomes increasingly practical and affordable for enterprise IT.
Speaking of machine learning, does linear regression really qualify as machine learning?