Aws Reinvent 2018 Industrialize Machine Learning Using Ci Cd Techniques Fsv304 I

190702transform Your Business With Aws Ai Machine Learning Pdf
190702transform Your Business With Aws Ai Machine Learning Pdf

190702transform Your Business With Aws Ai Machine Learning Pdf Aws re:invent 2018: industrialize machine learning using ci cd techniques (fsv304 i) as financial institutions look to accelerate and scale their use. The use of disparate and increasingly non traditional data sources for activities such as targeted marketing, fraud detection, and improved returns is driving a need for structured development of machine learning models.

Build A Ci Cd Pipeline For Deploying Custom Machine Learning Models
Build A Ci Cd Pipeline For Deploying Custom Machine Learning Models

Build A Ci Cd Pipeline For Deploying Custom Machine Learning Models Discover the power of running apache kafka on a fully managed aws service. in this session, we describe how amazon managed streaming for kafka (amazon [new launch!] scaling hpc applications on ec2 w elastic fabric adapter (ent360). The use of disparate and increasingly non traditional data sources for activities such as targeted marketing, fraud detection, and improved returns is driving a need for structured development of machine learning models. We discuss leading use cases and demonstrate how customers are creating dynamic, interactive virtual concierges using sumerian hosts integrated with various aws technologies, such as amazon polly, amazon lex, amazon rekognition, and aws lambda. In general, the aws ai specific announcements at re:invent 2018 aim to address three major challenges for ai and ml developers: reducing the cost of ai and ml development and operationalization.

Build A Ci Cd Pipeline For Deploying Custom Machine Learning Models
Build A Ci Cd Pipeline For Deploying Custom Machine Learning Models

Build A Ci Cd Pipeline For Deploying Custom Machine Learning Models We discuss leading use cases and demonstrate how customers are creating dynamic, interactive virtual concierges using sumerian hosts integrated with various aws technologies, such as amazon polly, amazon lex, amazon rekognition, and aws lambda. In general, the aws ai specific announcements at re:invent 2018 aim to address three major challenges for ai and ml developers: reducing the cost of ai and ml development and operationalization. Notes and analysis from sessions attended during re:invent 2018. chrishic aws reinvent 2018. Aws re:invent 2018: industrialize machine learning using ci cd techniques (fsv304 i) 44 2 comments michael wynston. At re:invent, aws has announced over 13 new machine learning services and a lot of focus is on reinforcement learning models including robomaker, deepracer, and sagemaker ol.