Testing and Monitoring Machine Learning Model Deployments Free Download

Testing and Monitoring Machine Learning Model Deployments

Testing and Monitoring Machine Learning Model Deployments Free Download. ML testing strategies, shadow deployments, production model monitoring and more

Testing and Monitoring Machine Learning Model Deployments Description

Requirements

  • Comfortable with Python
  • Familiar with Scikit-Learn, Pandas, Numpy
  • Comfortable with Data Science Fundamentals
  • Can use Git version control
  • Basic knowledge of Docker
  • This is an advanced course

Tableau Certified Associate in 60 Minutes with Practice Exam

What you’ll learn

  • Machine Learning System Unit Testing
  • Machine Learning System Integration Testing
  • Machine Learning System Differential Testing
  • Shadow Deployments (also known as Dark/Decoy launches)
  • Statistical Techniques for Assessing Shadow Deployments
  • Monitoring ML System with Metrics (Prometheus & Grafana)
  • Monitoring ML Systems with Logs (Kibana & the Elastic Stack)
  • The Theory Around Continuous Delivery for Machine Learning

Who this course is for:

  • Data Scientists who want to know how to test & monitor their models beyond in production
  • Software engineers who want to learn about Machine Learning engineering
  • Machine Learning engineers who want to improve their testing & monitoring skills
  • Data Engineers looking to transition to ML engineering
  • Lovers of open source technologies

Testing and Monitoring Machine Learning Model Deployments Free Download

Download (Public)

Content From: https://www.udemy.com/course/testing-and-monitoring-machine-learning-model-deployments/

How to download

Give a Comment