Google Vision vs. Amazon Rekognition: A Vendor-neutral Comparison
Google Cloud Vision and Amazon Rekognition offer a broad spectrum of solutions, some of which are comparable in terms of functional details, qualit...
Machine Learning
What is Amazon Machine Learning? How to Get Started
The phrase machine learning seems to appear alongside every new technology or service. Despite its popularity, many people still don’t understand e...
Natural Language Processing with Stanford CoreNLP
Cloud services offered via web API endpoints are an exploding and apparently relentless trend. The big players are exposing a huge (and increasing)...
Amazon Rekognition – Image Analysis as a Service
Amazon Rekognition: the new Image Analysis tool powered by Deep Learning Amazon itself has been powered by Machine Learning technologies for almos...
ServerlessConf Tokyo: Highlights From Japan on How App-Development is Changing
ServerlessConf Tokyo: we attended ServerlessConf Tokyo on Oct 1st and it's been an exciting time to be in Japan, thanks to more than 300 developers...
Getting Started with Google Cloud Speech API
Discover the Strengths and Weaknesses of Google Cloud Speech API in this Special Report by Cloud Academy's Roberto Turrin Google recently opened i...
Deep Learning Systems, Artificial Intelligence and Cloud Computing
Are we experiencing a revolution in deep learning and artificial intelligence based on the power of cloud computing? Advances in deep learning a...
Google Vision API: Image Analysis as a Service
Build powerful applications that see and understand the content of images with the Google Vision API The Google Vision API was released last month...
Amazon Mechanical Turk: Help for Building Your Machine Learning Datasets
How to use Mechanical Turk in combination with Amazon ML for dataset labelling Whether you build your own machine learning models in the Cloud or ...