Distributed hashtag#machinelearning has mainly two flavors: model and data parallelism.

Distributed hashtag#machinelearning has mainly two flavors: model and data parallelism.

Each has its own approach and output.

My colleague Nitin Bhushan will tackle the first approach, model parallelism, leveraging Apache Spark, in his upcoming workshop during the Data Learning week.

The session is tuned for anyone starting out with distributed ML for the first time and for the folks looking to enhance their understanding of scaling learning models with Apache Spark.

Register 👇🏼 to be electrified by our electrical engineer in residence, Nitin!

https://xebia.ai/learning-week-nitin

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