MLOps – Machine Learning 2.0
The future of machine learning is MLOps: automating as much as possible for data scientists, so that they can iterate and get rapid feedback.
Exploring Amazon Sagemaker Studio and AutoPilot
SageMaker Studio was announced at AWS re:Invent 2019, as a web-based IDE for working with Machine Learning models. It incorporates the other SageMaker components also released at the same time: AutoPilot, Debugger, Model Monitor, and Notebooks.
That’s A Wrap(Up)!
Well, what a week it was in Las Vegas for this year’s AWS re:Invent!
AWS RE:INVENT 2019 Recap – Day #2
Following on from Day 1 the Cevo Team have collected the big announcements and thoughts from Andy Jassy’s Tuesday Keynote session
AWS RELINVENT 2019 Recap – Day #1
This year, Steve Mactaggart, Colin Panisset and James Lewis are representing Cevo at AWS re:Invent. Here’s a recap from Day 1…
Migrating your Database(Admins) to the Cloud: Planning Access and Authorisation 101
This blog will focus on the access and authorisation approach for databases in AWS and how this should be of the first things you look at as you migrate databases from on-premises to the cloud.
AWS Summit Sydney 2019
In this post I review some of the great things from the AWS Summit Sydney that took place May 1st – 2nd 2019.
Dataops – Accelerating Changes for your Next Data Initiative
Data initiatives tends to be long and painful affairs. Let’s take a look at how applying DataOps coupled with Cloud technologies can help accelerate your data projects
Introduction to R
Sometimes using Excel to look at data works really well. Other times, such as when you are trying to make sense of a 170MB file of AWS EC2 pricing data it just sucks. Luckily R exists and can do the job really well! In this post I’ll run through some of the features of R and produce a nicely formatted CSV of on-demand EC2 pricing data.
Automated machine learning for Australian financial services company
The opportunity at a glance By leveraging Machine Learning Ops, our customer was able to improve their fraud detection model…
