Next Meetup

[1 hr Free] PipelineAI, GPU, TPU, Spark, TensorFlow, Kubernetes, Kafka, Scikit
Title GPU, TPU Workshop: PipelineAI, Spark, TensorFlow, Kubernetes, Kafka, Scikit-Learn Agenda Hands-on Learning with PipelineAI using GPU-based TensorFlow, GPUs, Kafka, and JupyterLab running on Kubernetes. Date/Time 9-10am US Pacific Time (Third Monday of Every Month) Agenda Hands-on Learning with PipelineAI using GPU-based TensorFlow, GPUs, Kafka, and JupyterLab running on Kubernetes. ** RSVP & LOGIN HERE ** Eventbrite: https://www.eventbrite.com/e/1-hr-free-pipelineai-gpu-tpu-spark-tensorflow-kubernetes-kafka-scikit-tickets-45852865154 Meetup: https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/events/kczhrpyxhbcc/ Zoom: https://zoom.us/j/690414331 Webinar ID:[masked] Phone: [masked] (US Toll) or [masked] (US Toll) Related Links PipelineAI Home: https://pipeline.ai PipelineAI Community Edition: http://community.pipeline.ai PipelineAI GitHub: https://github.com/PipelineAI/pipeline Advanced Spark and TensorFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup YouTube Videos: https://youtube.pipeline.ai SlideShare Presentations: https://slideshare.pipeline.ai Slack Support: https://joinslack.pipeline.ai Web Support and Knowledge Base: https://support.pipeline.ai Email Support: [masked]

Online

Online Beijing · Beijing

What we're about

这是一个来自北京的Meetup小组, 专注于对Advanced Spark and TensorFlow生态系统的实践, 研究和探索. 在这里我们将会讨论关于Spark平台的各种特性, 使用场景以及各种最佳实践的分享. 并且会重点讨论如何更好的将我们的成果贡献社区.

Spark and Deep Learning Experts digging deep into the internals of Spark Core, Spark SQL, DataFrames, Spark Streaming, MLlib, Graph X, BlinkDB, TensorFlow, Caffe, Theano, OpenDeep, DeepLearning4J, etc.

Deeper than a blog post or typical meetup, we'll explore and discuss the best practices and idioms of the code base across many areas including Spark's JVM Bytecode Generation, CPU-cache-aware Data Structures and Algorithms, Approximations, Praobabilistic Data Structures, Shuffle and I/O Optimizations, Streaming Micro-batch Scheduling, Performance Tuning, Configuration, Monitoring, Auto-Scaling, etc.

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