Thinking more systematically, Peter Norvig has argued that machine learning can be used to generate short programs(but not long ones) from training data;
Candela的广告团队已经证明了机器学习可以为Facebook带来多大的变革力量。
Candela's ad team has proven how transformative machine learning could be at Facebook.
机器学习可以跨行业使用,包括但不限于医疗、汽车、金融服务、云服务提供商等等。
Machine learning can be used across industries, including but not limited to healthcare, automotive, financial services, cloud service providers, and more.
为了证明机器学习可以预测真实的地震,Johnson需要对真实的断裂进行测试。
To show that machine learning could predict real earthquakes, Johnson needed to test it out on a real fault.
机器学习可以应用于各种功能领域,包括图像识别、语言/语音识别、自然语言处理和自治系统等。
Machine learning can be applied in various functional domains, including image recognition, speech/voice recognition, natural language processing, and autonomous systems.
图像识别和机器学习可以结合在一起扫描大量的文件,并根据应用的法律和法规采取行动。
Image recognition and machine learning could be combined to scan masses of documents, and take actions based on the laws and regulations which apply.
机器学习可以培训一个系统,以检测潜在威胁,同时保持其所需的灵活性,以提供计算能力和存储空间。
Machine learning can train a system to detect potential threats while retaining the flexibility that it needs to provide computing power and storage on demand.
机器学习可以将一名病人放射治疗的计划时间减少数小时。
Machine learning could cut the time it takes to plan a patient's radiotherapy treatment by hours.
如果机器学习可以改善血管评分,它将增强非侵入性成像对心血管风险评估的贡献。
If machine learning can improve vessel scoring, then it would enhance the contribution of non-invasive imaging to cardiovascular risk assessment.
机器学习可以应用于患者扫描分析,这通常是由医院医务人员完成的。
Machine learning could be applied to the analysis of patient scans that are usually checked by hospital staff.
机器学习可以增强CRM系统中的关系智能,帮助销售团队更好地了解客户并与他们建立联系。
Machine learning can enhance relationship intelligence in CRM systems to help sales teams better understand their customers and make a connection with them.
机器学习可以没有复杂的算法,但不能没有好的数据。
Machine learning could exist without good algorithms, but it can't exist without good data.
这需要关注组织,分析业务案例,以确定机器学习可以在什么地方增加价值并管理新方法的风险。
It requires focusing the organization, analyzing business cases to determine where machine learning can add value, and managing the risks of a new methodology.
如果机器学习可以提高科学质量,将对制药价格和速度产生巨大影响。
If machine learning could improve the quality of science, this would have huge implications on the price and speed of drug manufacturing.
这需要关注组织,分析业务案例,以确定机器学习可以在什么地方增加价值并管理新方法的风险。
The organization needs to analyze business cases to determine where machine learning can add the most value while managing the risks of a new methodology.
从外部来看,这是客户想要的东西和我们不能提供但是机器学习可以提供的东西之间的不匹配。
Externally, it was a mismatch between what a client was after and not so much what we could offer but what machine learning could offer.
除了疾病预测之外,还有更多的潜在领域,如药物发现或电子健康记录,机器学习可以改善医疗保健行业。
Apart from disease prediction, there are the few more potential areas like drug discovery or electronic health records where machine learning can improve healthcare industry.
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