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We will also briefly discuss machine learning libraries such as Sklearn.
The package implements standard APIs of time series and machine learning libraries (e.g. pandas and scikit-learn) and is designed for both exploratory analyses as well as straightforward integration into operational data science applications.
Kai-Wei has published broadly in machine learning, natural language processing, and artificial intelligence and has been involved in developing machine learning libraries (e.g., LIBLINEAR) that are being used widely by the research community.
jCompoundMapper supports native formats of common open source machine learning libraries.
Their machine learning libraries are unavailable outside of their enterprise packages.
The second segment is represented by device-centric AI supported by mobile machine learning libraries like Apple's CoreML.
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Spark is a cluster computing framework, and MLlib is a distributed machine learning library on top of Spark.
LibSVM Version 3.18 [21] for a machine learning library is available.
The models were trained using the machine learning library LIBSVM.
Flink is efficient in machine learning, because it adopts its own machine learning library called FlinkML.
To train our models, we use the machine learning library scikit-learn [37].
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