MP4 | Video: AVC 1280 x 720 | Audio: AAC 48 Khz 1ch | Duration: 07:50:05 | 4.09 GB

Genre: eLearning | Language: English

You’ll get access to O’Reilly data and AI experts. Deep dives into some of the hottest topics in the industry. Intriguing case studies. And a chance to try out new technologies in a live coding environment—all without stepping onto a plane.

Day One

ML in Production

You’ve built a cool model and you want to get it in front of users. Whether you need to break free of Jupyter Notebooks, resolve problems that plague a majority of machine learning projects, or deploy machine learning models and applications to the cloud, these sessions offer a variety of strategies and practices from top companies for deploying machine learning projects in production.

Day Two

Streaming Data

Stream processing is key to data integration, as companies must efficiently and effectively process and analyze growing amounts of data in real time. The architecture, features, and capabilities of tools like Spark, Flink, Kafka, Pulsar, and Ray help businesses grow and thrive at a faster pace. These sessions explore streaming and real-time data and how to store, scale, and analyze this gold mine of information.

What you'll learn-and how you can apply it

Day One features content on Machine Learning in Production. We will cover the following:

MLOps with Jenkins and Prometheus

MLFlow and Kubeflow fundamentals

Optimizing ML for production

Day Two features content on Streaming Data. We will cover the following:

Apache Spark on Kubernetes

Digital Twins

A Lyft case study

Batch and stream processing with Apache Beam