Continuing my series on how to leverage the various Machine Learning and AI services from Amazon, Azure and Google, previously we used Amazon’s Rekognition and Python to perform image recognition with KNIME.
Rather than having to custom code solutions, I can, in just a few minutes build a workflow or integrate into my existing workflows a comprehensive sentiment analysis service. More impressive, not a single line of code will be written.
We’ll be leveraging KNIME’s built in Twitter functionality, along with Microsoft Azure’s Cognitive Services. …
Building an accurate image recognition engine with deep learning tools can be a difficult undertaking. You may require tens of thousands (or millions) of curated, tagged images to get an accurate model and a powerful enough server to run the deep learning model.
Well, luckily for us, all major cloud vendors have solved this challenge by providing API’s for their machine learning image recognition services. Google has Cloud Vision, Microsoft Azure has Computer Vision and Amazon has Rekogniton.
The approach I take with my tutorial using Amazon can be adapted and used for any of the services above. At the end of the day, an image is uploaded to cloud storage, an API call issued and a JSON output is returned with the images classification. …
In my role at Forest Grove Technology, I’m always trying to find a way to provide clients with innovative solutions and leverage tools they already have. In summary as little to no coding as possible.
When Apple released Apple Shortcuts in iOS 12, I was hooked testing out all the fun ways I can automate my day to day life…. getting up off the sofa is for suckers! I was playing around with Apple Shortcuts and realised it has full support for REST API’s and JSON. …
The competition in the cloud data warehouse market is certainly hotting up! Amazon continues to be the dominant force with AWS Redshift but Snowflake is hot on their heels.
With Snowflake’s innovative approach to scaling, performance and cost, we’ve started to move all of our KNIME cloud data warehouse workflows from Redshift to Snowflake and with KNIME’s database nodes we can automatically create and launch Snowflake clusters, databases and configure data sources.
Luckily just like with AWS Redshift, the Snowflake drivers are just as easy to install and configure, find out how below;