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机器允许我们将数据输入机器学习算法,以确定特定数据集的“正常”值。
The machine allows us to feed data into a machine learning algorithm to determine what is“normal” for a particular set of data.
智能机器学习算法正在帮助农场主实现自动化灌溉,以及对灌溉进行优化。
Intelligent machine learning algorithms are helping farmers automate and optimize irrigation.
SparklingWater可以帮助数据科学家将Spark的数据摄入和ETL能力与H2O机器学习算法结合在一起。
Sparkling Water enables data scientists to combine Spark's data ingestion and ETL capabilities with H2O machine learning algorithms.
在只需要答案是肯定或不答案的情况下,我们确切地知道机器学习算法能够做什么或不能做什么。
In situations where just a yes or no answer is required, we know exactly what can or cannot be done by machine learning algorithms.
对于想要使用数据来训练AI项目机器学习算法的组织,还会面临着另一个挑战,即:如何确保数据的可用性。
For organizations that want to use their data to train machine learning algorithms for AI projects have another challenge: Making the data usable.