Mastering Azure Machine Learning Perform Large-scale End-to-end Advanced Machine

Master Expert Techniques For Building Automated And Highly Scalable End-to-end Machine Learning Models And Pipelines In Azure Using Tensorflow, Spark, And Kuberneteskey Features Make Sense Of Data On The Cloud By Implementing Advanced Analytics Train And Optimize Advanced Deep Learning Models Efficiently On Spark Using Azure Databricks Deploy Machine Learning Models For Batch And Real-time Scoring With Azure Kubernetes Service (aks) Book Description The Increase Being Seen In Data Volume Today Requires Distributed Systems, Powerful Algorithms, And Scalable Cloud Infrastructure To Compute Insights And Train And Deploy Machine Learning (ml) Models. This Book Will Help You Improve Your Knowledge Of Building Ml Models Using Azure And End-to-end Ml Pipelines On The Cloud. The Book Starts With An Overview Of An End-to-end Ml Project And A Guide On How To Choose The Right Azure Service For Different Ml Tasks.