Dladv Advanced Deep Learning 28 hours Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
为了应对癌症并战胜这场战争,我们的弹药库存中,大数据和机器学习是大规模杀伤性武器。
In our arsenal for waging this war on cancer and conquering it, big data and machine learning are critical tools.
机器学习是在识别模式,这是评估病人的风险深深地有关特别好‘'尚穆根说。
Machine learning is particularly good at identifying patterns, which is deeply relevant to assessing patient risk,” Shanmugam said.
为了应对癌症并战胜这场战争,我们的弹药库存中,大数据和机器学习是大规模杀伤性武器。
In our ammunition stockpile to pursue this war with cancer and overcoming it, Big Data and Machine Learning are weapons of mass destruction.
其次,机器学习是AI的子集,这意味着虽然ML是AI,但AI不一定是ML。
Secondly, machine learning is a subset of AI, meaning that while ML is AI, AI is not necessarily ML.
Wilke说,最终,机器学习是一个“推进”技术,“它使得我们让这些体验中的某些变得更好。
Ultimately, Wilke says, machine learning is an“advancing” technology,“which allows us to make some of these experiences better.”.
机器学习是另一种工程工具,它使我们的生活更简单、更舒适,并逐渐使它变得更好。
Machine learning is another engineering tool that makes our life simpler and more comfortable, gradually changing it for the better.
年出版的《终极算法》描述了机器学习是如何重塑商业、政治、科学和战争的。
The Master Algorithm, published in 2015, describes how machine learning is remaking business, politics, science and war.
机器学习是一个人工智能学科,它使系统能够仅基于数据进行学习,随着更多数据的处理不断提高性能。
Machine learning is a discipline of artificial intelligence that enables systems to learn based on data alone, continuously improving performance as more data is processed.
统计学和机器学习领域是密切相关的,“统计”机器学习是现代机器学习的主要途径[12]。
The statistics and machine learning fields are closely linked, and"statistical" machine learning is the main approach to modern machine learning..
机器学习是人工智能的另一部分,它在收集新数据时获取信息,学习和适应。
Another part of AI is Machine Learning, which gathers information, learns and adapts as it accumulates new data.
机器学习是很吸引人的,特别是更高级的子集,比如深度学习和神经网络。
Machine studying is fascinating, particularly it's extra superior subsets resembling deep studying and neural networks.
机器学习是人工智能的一种应用,它使用数据来学习、识别模式并做出决策。
Machine learning, which is a way to apply AI, uses data to learn, identify patterns and make decisions.
第二,机器学习是一把剑,利用这把剑可以杀死复杂性怪兽。
The second thing is that machine learningis a sword with which to slay the complexity monster.
正如Russinovich所说的那样:“人工智能和机器学习是艺术,我们需要进行尝试。
And, as Russinovich said,"AL and ML are an art, we need to experiment.".
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