Too Long; Didn't Read
<a href="https://hackernoon.com/tagged/amazon" target="_blank">Amazon</a> Web Services offer <a href="https://aws.amazon.com/machine-learning" target="_blank">multitude of products</a> related to Machine <a href="https://hackernoon.com/tagged/learning" target="_blank">Learning</a> in one way or another. There are almost plug-and-play API services like “<a href="https://aws.amazon.com/rekognition/" target="_blank">Rekognition</a>” for image and video analysis, “<a href="https://aws.amazon.com/lex/" target="_blank">Lex</a>” for conversational interfaces (chat bots), “<a href="https://aws.amazon.com/comprehend/" target="_blank">Comprehend</a>” for text analysis, “<a href="https://aws.amazon.com/transcribe/" target="_blank">Transcribe</a>” for speech-to-text and “<a href="https://aws.amazon.com/polly/" target="_blank">Polly</a>” for text-to-speech conversions, etc. These specialized services provide pre-trained models which can be easily integrated in your applications via API. Quite recently Amazon has launched a lower level, general purpose service called “<a href="https://aws.amazon.com/sagemaker/" target="_blank">SageMaker</a>”. This is more of a platform, tailor-made for common Machine Learning workflows. Finally, there is the good old “<a href="https://aws.amazon.com/ec2" target="_blank">EC2</a>” service, that offers compute instances of many sizes and shapes, including the ones with GPU.