Machine Learning Engineering With Mlflow Manage The End-to-end Machine Learning

Get Up And Running, And Productive In No Time With Mlflow Using The Most Effective Machine Learning Engineering Approachkey Features:explore Machine Learning Workflows For Stating Ml Problems In A Concise And Clear Manner Using Mlflowuse Mlflow To Iteratively Develop A Ml Model And Manage Itdiscover And Work With The Features Available In Mlflow To Seamlessly Take A Model From The Development Phase To A Production Environmentbook Description:mlflow Is A Platform For The Machine Learning Life Cycle That Enables Structured Development And Iteration Of Machine Learning Models And A Seamless Transition Into Scalable Production Environments.this Book Will Take You Through The Different Features Of Mlflow And How You Can Implement Them In Your Ml Project. You Will Begin By Framing An Ml Problem And Then Transform Your Solution With Mlflow, Adding A Workbench Environment, Training Infrastructure, Data Management, Model Management, Experimentation, And State-of-the-art Ml Deployment Techniques On The Cloud And Premises. The Book Also Explores Techniques To Scale Up Your Workflow As Well As Performance Monitoring Techniques.