What we're about

This meetup is focused on Data Science on AWS as well as open source AI/ML technologies.

Upcoming events (5)

Data Science on AWS Monthly Webinar: Advanced Analytics and AI/ML with Snowflake

Online Workshop - See Details Below

RSVP Webinar: https://www.eventbrite.com/e/1-hr-free-workshop-pipelineai-gpu-tpu-spark-ml-tensorflow-ai-kubernetes-kafka-scikit-tickets-45852865154

Zoom link: https://us02web.zoom.us/j/82308186562

Talk #1: Intro and Meetup Updates

SageMaker Data Wrangler + Snowflake

Blog Post here: https://aws.amazon.com/blogs/machine-learning/prepare-data-from-snowflake-for-machine-learning-with-amazon-sagemaker-data-wrangler/

Talk #2: Data science, engineering, and analytics with Snowflake on AWS by Ahmad Khan, Head of AI/ML Strategy @ Snowflake

- Intro
- Snowflake Overview
- Snowflake for Data Science
- ML Demo
- New Launches: Snowpark + Java UDFs
- Q&A

Ahmad is a Data Cloud Principal at Snowflake where he focuses on Data Science/Machine Learning workloads. Prior to Snowflake, Ahmad spent over 4 years at AWS where he focused on the AWS' stack of ML services and was involved in early proof of concepts for SageMaker. Ahmad holds a Masters in Electrical & Computer Engineering from University of Southern California.

LinkedIn: https://www.linkedin.com/in/ahmadrazakhan/

Talk #3: TBD

RSVP Webinar: https://www.eventbrite.com/e/1-hr-free-workshop-pipelineai-gpu-tpu-spark-ml-tensorflow-ai-kubernetes-kafka-scikit-tickets-45852865154

Zoom link: https://us02web.zoom.us/j/82308186562

Meetup: https://meetup.datascienceonaws.com

Related Links
=============
O'Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com
Support: https://support.pipeline.ai

Workshop: Build an AI/ML pipeline with BERT, TensorFlow and Amazon SageMaker

Online Workshop - See Details Below

Workshop: Build an AI/ML pipeline with BERT, TensorFlow and Amazon SageMaker

**** NOTE: CHANGES TO DAY, TIME, and RSVP LINK ****

RSVP: https://pages.awscloud.com/NAMER-field-OE-Machine-Learning-Dev-Day-2021-reg-event.html

**Description**

In this hands-on workshop, we will build an end-to-end AI/ML pipeline for natural language processing with Amazon SageMaker.

You will learn how to:

• Ingest data into S3 using Amazon Athena and the Parquet data format
• Visualize data with pandas, matplotlib in Jupyter notebooks
• Run data bias analysis with SageMaker Clarify
• Perform feature engineering on a raw dataset using Scikit-Learn and SageMaker Processing Jobs
• Store and share features using SageMaker Feature Store
• Train and evaluate a custom BERT model using TensorFlow, Keras, and SageMaker Training Jobs
• Evaluate the model using SageMaker Processing Jobs
• Track model artifacts using Amazon SageMaker ML Lineage Tracking
• Run model bias and explainability analysis with SageMaker Clarify
• Register and version models using SageMaker Model Registry
• Deploy a model to a REST Inference Endpoint using SageMaker Endpoints
• Automate ML workflow steps by building end-to-end model pipelines using SageMaker Pipelines

**Pre-requisites**
Modern browser - and that's it!
Every attendee will receive a cloud instance
Nothing will be installed on your local laptop
Everything can be downloaded at the end of the workshop

**Location**
Online

Related Links
=============
O'Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com
Support: https://support.pipeline.ai

Workshop: Build an AI/ML pipeline with BERT, TensorFlow and Amazon SageMaker

Online Workshop - See Details Below

Workshop: Build an AI/ML pipeline with BERT, TensorFlow and Amazon SageMaker

RSVP: https://www.eventbrite.com/e/full-day-workshop-kubeflow-bert-gpu-tensorflow-keras-sagemaker-tickets-63362929227

**Description**

In this hands-on workshop, we will build an end-to-end AI/ML pipeline for natural language processing with Amazon SageMaker.

You will learn how to:

• Ingest data into S3 using Amazon Athena and the Parquet data format
• Visualize data with pandas, matplotlib in Jupyter notebooks
• Run data bias analysis with SageMaker Clarify
• Perform feature engineering on a raw dataset using Scikit-Learn and SageMaker Processing Jobs
• Store and share features using SageMaker Feature Store
• Train and evaluate a custom BERT model using TensorFlow, Keras, and SageMaker Training Jobs
• Evaluate the model using SageMaker Processing Jobs
• Track model artifacts using Amazon SageMaker ML Lineage Tracking
• Run model bias and explainability analysis with SageMaker Clarify
• Register and version models using SageMaker Model Registry
• Deploy a model to a REST Inference Endpoint using SageMaker Endpoints
• Automate ML workflow steps by building end-to-end model pipelines using SageMaker Pipelines

**Pre-requisites**
Modern browser - and that's it!
Every attendee will receive a cloud instance
Nothing will be installed on your local laptop
Everything can be downloaded at the end of the workshop

**Location**
Online

Related Links
=============
O'Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com
Support: https://support.pipeline.ai

Past events (302)

Data Science on AWS Monthly Webinar: Advanced Analytics and AI/ML

Online Workshop - See Details Below

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