Examples of using Machine learning will in English and their translations into Chinese
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Third, machine learning will improve diagnostic accuracy.
第三，机器学习将会提高诊断的准确性。But when it comes to powering specific functions, machine learning will do the bulk of the work for us.
但是，当涉及到具体职能，机器学习会为我们做大量的工作。But machine learning will cause more elections to be close in the future.
但未来机器学习会让更多的选举结果更接近。Artificial intelligence(AI) and machine learning will optimize video content delivery.
Machine learning will enable the platform to scale and increase engagement.
机器学习将使平台规模扩大，增加参与度。Closed-loop edge to cloud machine learning will become a true operational solution.
闭环边缘到云的机器学习将成为真正的操作解决方案。Machine learning will be the biggest disruptor for big data analytics in 2017.
机器学习会成为2017年大数据分析的瓦解者吗？But when it comes to powering specific functions, machine learning will do the bulk of the work for us.
然而,在一个特定的功能,机器学习将取代我们做大量的工作。Generally, machine learning will replicate and amplify any bias in the data,” Asaro said.
通常，机器学习将复制并放大数据中的任何偏差，”Asaro说。With these examples in mind,the survey respondents appear hopeful that machine learning will help them to minimise risks, in some cases.
通过例子,受访者似乎想机器学习将帮助他们在某些情况下,降低风险。More machine learning will soon boost that number to 50, and eventually, it could go beyond 200.
更多的机器学习将很快将这个数字增加到50，最终可能超过200。In the coming years, Artificial Intelligence and Machine Learning will automate many construction tasks in unprecedented ways.
在未来几年，人工智能和机器学习将会以史无前例的方式自动化很多建筑任务。Machine Learning will continue to prosper, and it will look at transforming how our analytics is consumed, shared and delivered.
机器学习将继续蓬勃发展，它将着力分析我们的消费兴趣，共享与支付方式。Over the next year, these advancements in AI and machine learning will turn our PCs into even smarter and more collaborative companions.
接下来的一年，AI与机器学习将把PC转变成人类更聪明且更具协作能力的伙伴。Machine Learning will help analyse patient data to decide which medicine would suit one best, leaving behind the age-old“one size fits all” theory.
机器学习将帮助医生分析病患者数据，以决定最适合用哪种药物，摒弃了古老的“一刀切”理论。If the proponents of these techniques are right, AI and machine learning will usher in an era of quicker, cheaper and more-effective drug discovery.
如果这些技术的支持者是正确的，那么AI和机器学习将开启一个更快、更便宜和更有效的药物研发时代。For example, machine learning will help the IRS find anomalies in filed tax forms, automatically flagging potentially fraudulent submissions for further review.
例如，机器学习将帮助国税局找到归档税表中的异常情况，自动标记潜在的欺诈性提交作进一步审查。Big data and analytics will usher forth the age of automation andartificial intelligence where machine learning will take your own data to new heights.
大数据和分析技术将迎来自动化和人工智能时代，机器学习将把数据价值提升到新的高度。There is no doubt that machine learning will transform most areas of our economy and society.
毫无疑问，机器学习将会改变我们经济和社会的大部分领域。I expect deep learning skills will be sought more explicitly in the future and that machine learning will become more synonymous with deep learning. .
我预计，在未来，人们将更加明确地寻求深度学习技能，而机器学习将成为深度学习的代名词。Artificial intelligence and machine learning will become a requirement for new solutions for simplified operations.”?
人工智能和机器学习将成为新解决方案的需求简化操作:?Machine learning will reveal the most impactful attraction factors, recruiting sources, interview questions, selection criteria and which recruiters hire the best.
机器学习将揭示最具影响力的吸引力因素，招聘来源，面试问题，选择标准以及哪些招聘人员最佳雇用。Natural language processing and machine learning will gradually become available even to small organizations.
自然语言处理和机器学习将会越来越多地进入到中小型企业中。On one hand, machine learning will help people sift through massive amounts of data and do their jobs more effectively.
一方面，机器学习将帮助人们筛选大量的数据，更有效地完成他们的工作。A number of business leaders believe Machine Learning will maximize the insights gained from Big Data and provide them with a competitive edge.
许多企业领导者认为，机器学习将最大限度地从大数据获得洞察，并为他们提供竞争优势。Big data and machine learning will become standard operating arenas for future STEM experts, but how do we prepare for it?
大数据和机器学习将成为未来STEM专家的标准操作舞台，但我们可以为此作何准备呢？?In a third and final step, machine learning will be used to find lightweight 3D printed structures with high load-bearing capabilities.
在第三步也是最后一步，机器学习将用于寻找具有高承载能力的轻质3D打印结构。McKinsey predicts machine learning will reduce supply chain forecasting errors by 50% and reduce lost sales by 65% with better product availability.
麦肯锡预测，机器学习将减少50%的供应链预测错误，65%的销售损失，从而提高产品的可用性。Artificial Intelligence and Machine Learning will lead to the largest productivity increases we have seen in years, not just for people, but for machines. .
人工智能和机器学习将带来近年我们所见的最大幅生产力增长，不仅造福人类，也造福机器.Studies by McKinsey show that machine learning will reduce supply chain forecasting errors by 50 percent, and reduce lost sales by 65 percent, with better product availability.
麦肯锡预测，机器学习将减少50%的供应链预测错误，65%的销售损失，从而提高产品的可用性。
