Video description
A walkthrough of Chapter 5 of the O'Reilly book Practical MLOps.
Topics include:
* Getting models into production
* Feature Store vs Data Warehouse
* AutoML
* MLOps
* DataOps
* ML Platforms
* Sagemaker
* Continuous Integration and Continuous Deployment
* MLOps cookbook
* ML Engineering
* Data Engineering
* Spark
* GCP
* Azure
* Containers
* Kaizen
Table of contents
Product information
- Title: AutoML and KaizenML - Chapter 5 Walkthrough Practical MLOps
- Author(s):
- Release date: August 2021
- Publisher(s): Pragmatic AI Labs
- ISBN: 608142021VIDEOPAIML
You might also like
article
Run Llama-2 Models Locally with llama.cpp
Llama is Meta’s answer to the growing demand for LLMs. Unlike its well-known technological relative, ChatGPT, …
article
Twenty Years of Open Innovation
Organizations that practice open innovation draw on external resources to develop new ideas for products and …
article
Use Github Copilot for Prompt Engineering
Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but …
article
Detect Fraud Using Isolation Forest
These shortcuts delve into generative AI, where algorithms and models create synthetic data, detect anomalies, and …