Welcome to the feature store newsletter brought to you by Logical Clocks, where we in a monthly cadence highlight the latest news, events, and insights as we help companies become successful in their machine learning transformation journey and empower businesses to be applied-AI model-driven companies.
New Feature Store coming to Google AI Platform
As part of the Google Cloud Next: OnAir series, Google announced that a managed Feature Store is coming to Google Cloud AI Platform. The AI Platform will be centered on Kubeflow and it will provide access to Google’s machine learning framework TensorFlow, its BigQuery data store and its cloud-based Tensor Processing Units.
Watch here
Editor’s Pick
Time-series chaos? Use a feature store
Toby Coleman discusses the usefulness of feature stores when applied to time-series problems such as forecasting.
Read here
Why ML in production is (still) broken
Hamza Tahir shares his thoughts on the state of Machine Learning in production, and why it’s (still) broken.
Read here
Making our Data Scientists and ML Engineers more Efficient
Vineet Kumar wrote a two part article on the concept of MLOps and the importance of feature stores for ML engineers.
Part 1 here and Part 2 here
Upcoming Webinars & Events
ESA Φ-week - Building Scalable Distributed Deep Learning Models with Copernicus Data using Hopsworks
Φ-week is the annual Earth Observation event organised by ESA-EOP. This presentation will showcase how to build distributed deep learning models using Hopsworks for some of the sea/ice mapping tasks of the ExtremeEarth Polar Use such as iceberg identification and sea/ice classification using SAR images.
Program here
Videos
Solve Fraud Challenges with Graph Network and Deep Learning in Hopsworks
Watch this video to learn how deep learning (both supervised & unsupervised learning) and graph networks can increase anomaly detection rates and reduce costs associated with fraud and anti-money laundering.
Watch here
Collaborate on Cloud Pak for Data Using Feature Store: DSE Presents Chat with the Lab
IBM Jump on the Feature Store Bandwagon with DimStore. DimStore enables feature sharing and easy management on the Cloud Pak for Data platform.
Available on-demand here
PyData Fest Amsterdam 2020 - A feature Store for Machine Learning
Feature Store enables end-to-end ML pipelines to be factored into feature engineering and data science stages that each can run at different cadences.
Watch here
Job Opportunities
Sr Software Engineer – ML Feature Store
Cortex is hiring a senior software engineer to join their ML Feature Store team in the USA.
Apply here
Engineering Manager - ML Platform
Etsy is looking for a new engineer to lead its ML Platform team to build its next-generation machine learning infrastructure.
