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Machine learning has undergone a flurry of progress recently thanks to the growth of big data, fa...
Machine learning has undergone a flurry of progress recently thanks to the growth of big data, fast hardware, and clever algorithms. And with tools such as Spark and Hadoop, the JVM is no stranger to machine learning, using tools including h2o, dl4j and other Spark-based libraries. With these tools, developers can harness the power of distributed hardware and deep learning to discover new and untapped patterns and relationships in big data. In this session, learn how to train a classifier to recognize handwritten digits and how you can build your own models using open source data sets. No prior experience is required.