In the past decade, deep learning has advanced many different areas, such as computer vision and natural language processing. State-of-the-art models now achieve near-human performance in tasks such a...
Increasing performance and reducing the cost of MXNet inference using Amazon SageMaker Neo and Amazon Elastic Inference
When running deep learning models in production, balancing infrastructure cost versus model latency is always an important consideration. At re:Invent 2018, AWS introduced Amazon SageMaker Neo and Ama...
Migrating Monolithic Apps to Serverless Architecture on AWS
 has achieved superhuman performance in problems ranging from [da...
Support Vector Regression Tutorial for Machine Learning
Support Vector Machines (SVM) are popularly and widely used for classification problems in machine...
