From the course: Cloud Hadoop: Scaling Apache Spark
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Advanced machine learning on Spark - Apache Spark Tutorial
From the course: Cloud Hadoop: Scaling Apache Spark
Advanced machine learning on Spark
- [Instructor] In previous movies we looked at running Spark ML, which is something I run into with my customers frequently. In addition to that, there have been quite a few advancements in machine learning algorithms recently. You might be wondering how these work on Spark. Now if you're not doing machine learning, this is pretty deep stuff. But for some of you, you will be doing machine learning so I wanted to include it here. So around deep learning, there is advancements around advanced neural networks. And these manifest as open source libraries. There are many different configurations, but these are the ones that I work with most frequently or have customers want me to work with them on. One is TensorFlow and it's created from Google and open sourced, now has an open source community. And the other one is MXNet and this is from Amazon open source community. As we saw, even with the Spark ML in the last example you…
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Spark SQL8m 34s
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SparkR6m 54s
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Spark ML: Preparing data4m 21s
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Spark ML: Building the model3m 50s
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Spark ML: Evaluating the model3m 41s
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Advanced machine learning on Spark1m 35s
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MXNet25s
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Spark with ADAM for genomics2m 5s
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Spark architecture for genomics2m 1s
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