YoVDO

An Overview of Common ML Serving Architectures

Offered By: MLOps.community via YouTube

Tags

Machine Learning Courses Signal Processing Courses MLOps Courses Bayesian Statistics Courses Data Engineering Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore common machine learning serving architectures in this 18-minute conference talk by Rebecca Taylor, tech lead of Personalization at Lidl e-commerce. Gain insights into the disconnect between academic teachings and industry practices in model deployment. Learn about the constraints that impact deployment design, including unique data setups, platform configurations, and financial limitations. Discover how to build flexible designs that accommodate these constraints. Benefit from Rebecca's extensive experience in MLOps, electronic engineering, and data science consulting, as well as her academic background in Bayesian Statistics and engineering.

Syllabus

An Overview of Common ML Serving Architectures // Rebecca Taylor // DE4AI


Taught by

MLOps.community

Related Courses

内存数据库管理
openHPI
CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX
Processing Big Data with Azure Data Lake Analytics
Microsoft via edX
Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera
Google Cloud Big Data and Machine Learning Fundamentals 日本語版
Google Cloud via Coursera