Machine Learning in the Cloud: Fully Automated Data Pipeline Part 3
Welcome to the third part of our blog series. In the previous part, we introduced AWS Glue DataBrew service that was used for cleaning and transforming our training and test data. In this blog post, we are going to set up CI/CD pipelines in order to automate the release process of our recipes using AWS CodePipeline, AWS CodeDeploy, AWS CodeCommit and AWS Lambda.
People of Symphony starring Sanja Dimkovic: The Main Driving Force of Success is Constant Learning
Meet Sanja Dimkovic, Software Engineer at the engineering hub in Niš. In her long-standing career in tackling software challenges, she’s done it all - from frontend and backend to mobile and web development.
Machine Learning in the Cloud: Fully Automated Data Pipeline Part 2
Welcome back to your favorite blog series! In the previous part, we talked about machine learning in the cloud and presented the benefits and drawbacks. In this blog post, we continue our journey and introduce an AWS service that will be used for cleaning and transforming our training and test data.
Imperative to Functional Programming in Java
Many engineers may ask themselves, what are the benefits and why should they use functional programming in Java. From its beginnings, best practices in Java have encouraged object-oriented programming (which is an extension of procedural programming - type of imperative programming).
People of Symphony starring Nikola Orozovic: The Art of Quality Assurance - Building the Bridge between Development and Client
It is time to introduce Nikola Orozovic, a Principal QA Engineer from Symphony Novi Sad. Coming from a Civil engineering background, Nikola discovered his passion for testing back in 2015, when he first set sail in QA waters.
Machine Learning in the Cloud: Fully Automated Data Pipeline
As cloud services become more and more popular, the potential for building machine learning applications in the cloud also increases. In this blog post, we'll focus on Amazon Web Services (AWS) and explore how to set up a fully automated data pipeline for a machine learning application using some of these services.