• [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]

  • [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]

  • [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]

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  • Please Join the Global Advanced Spark + TensorFlow Meetup for All Future Events!

    Hi there! Please join the parent meetup (for consolidation purposes) located here: http://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup Additionally, all live streams, recordings, and slides will all be posted at the parent meetup link above. Thanks so much - and see you soon! -Chris

  • [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]

  • [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]

  • [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]

  • [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]

  • [Free 2-Hr]PipelineAI: Continuous Train + Deploy TensorFlow Models in Production

    MUST RSVP HERE: https://www.eventbrite.com/e/8-hr-in-person-or-online-workshop-continuously-train-deploy-spark-and-tensorflow-serverless-models-tickets-42773079432 **Everybody gets their own cloud-based TPU for the day!! Note: There is also a webinar option for remote attendees of this event. Register with Eventbrite and you will receive webinar instructions the night before the event. If you have any issues with this remote webinar option, please email [masked] and we will help. Times* *Please choose just 1 option to allow room for others * Option A: 9-11am PT * Option B: 12-2pm PT * Option C: 3-5pm PT Workshop Title Continuous Training and Deploying of High Performance, Serverless Spark ML and TensorFlow Models in Production with Jupyter, Spark ML, TensorFlow, Scikit-Learn, Kafka, Kubernetes, Istio, Prometheus, Grafana, Slack, GPUs, TPUs and PipelineAI. Abstract Using the latest advancements in real-time AI from the open source PipelineAI project, we will build a continuous, serverless model training and deployment pipeline using GPUs, Spark ML, TensorFlow, Kafka, Kubernetes, JupyterLab, and PipelineAI Streaming data is generated in real-time from the other attendees using Slack to crowd-source the data labeling. This newly-labeled data is used to continuously train and deploy new models. We will use PipelineAI and Istio with Kubernetes to quickly - and safely - deploy the new models to a live production environment. Similar to canary deployments of classic microservices, the new models are exposed to only a small amount of production traffic. Slowly, we will shift more traffic to the new models. Using reinforcement learning, multi-armed bandits, and metrics from Prometheus/Grafana, live traffic is automatically routed to the winning models based on a given reward function such as MAXIMIZE(number of signups) or MINIMIZE(cost per prediction). All demos run on a hybrid-cloud, open source, GPU-based, Kubernetes cluster optimized for the machine learning and artificial intelligence use cases that we commonly see at PipelineAI. Bio Chris Fregly is Founder and Applied AI Engineer at PipelineAI, a Real-Time Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production with Kubernetes and GPUs." Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco. Prerequisites Decent grasp of Computer Science. A good night's sleep! More Info Web: https://pipeline.ai/workshops Email: [masked] **Everybody gets their own cloud-based TPU for the day!! MUST RSVP HERE: https://www.eventbrite.com/e/8-hr-in-person-or-online-workshop-continuously-train-deploy-spark-and-tensorflow-serverless-models-tickets-42773079432

  • Building End-to-End Data Science Platforms

    NYC Seminar and Conference Center

    Learn about the latest news on JupyterLab, TensorFlow, Spark, PipelineAI, DC/OS, and Machine Learning. Agenda Talk 0: Meetup Announcements and Updates Talk 1: Building End-to-End Data Science Platforms (Chris Fregly, Founder @ PipelineAI & Jörg Schad @ Mesosphere) Abstract Ever wonder about how to set up a complete end-to-end data science pipeline starting with interactive notebooks, continuous model training, continuous model optimizations, and lightning-fast model experiments directly in production? In this talk we will focus on two aspects in particular: Data Scientist Interaction As a Data Scientist I really just want to focus on building great models, without having to worry too much about Cluster Infrastructure, deploying up distributed Spark/TensorFlow, or accessing remote datasets. For this purpose, we will look at the challenge involved, and how the DC/OS JupyterLab service helps to solve these challenges. We will also explore how a Data Scientist can interact with HDFS, Spark, Cassandra from his notebook without even having to be aware of the underlying Cluster/Infrastructure. Continuous Model Training and Serving Traditional machine learning pipelines end with lifeless models sitting on disk in the research lab. These traditional models are typically trained on stale, offline, historical batch data. Static models and stale data are not sufficient to power today's modern, AI-first Enterprises that require continuous model training, continuous model optimizations, and lightning-fast model experiments directly in production. Through a series of open source, hands-on demos and exercises, we will use PipelineAI helps to solve these challenges. Speaker Chris Fregly is Founder at PipelineAI, a Real-Time Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O'Reilly Training and Video Series titled, "High Performance TensorFlow in Production with Kubernetes and GPUs." Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco. Jörg is the technical lead for Data Science at Mesosphere in San Francisco. In his previous life he implemented distributed and in memory databases and conducted research in the Hadoop and Cloud area during his PhD. His speaking experience includes various Meetups, international conferences, and lecture halls.

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