InfoWorld Machine learning, and especially deep learning, have turned out to be incredibly useful in the right hands, as well as incredibly demanding of computer hardware. The boom in availability of high-end GPGPUs (general purpose graphics processing units), FPGAs (field-programmable gate arrays), and custom chips such as Google’s Tensor Processing Unit (TPU) isn’t an accident,Read More
H2O, now in its third major revision, provides access to machine learning algorithms by way of common development environments (Python, Java, Scala, R), big data systems (Hadoop, Spark), and data sources (HDFS, S3, SQL, NoSQL). H2O is meant to be used as an end-to-end solution for gathering data, building models, and serving predictions. For instance,Read More
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