We started this group to help share how companies and teams are solving the infrastructure and analytical challenges in operationalizing big data workloads (Machine Learning, ETL, and adhoc analytics). Data is everywhere, but getting value requires the right people and technology in place. All skill levels are welcome.
Our events are for anyone interested in how to take AI, Data Science, Data Mining, Data Engineering, and Big Data Analytics into production. Topics will include real world applications and use cases in the cloud (AWS, Azure, Oracle, IBM, and Google) of Apache Spark, Hadoop, Hive, Tensorflow, MXnet, Caffe, Torch, Theano, Kubernetes, Docker, and more.