Statistics.comX: MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning
There is one session available:
MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning
At a glance
- Institution: Statistics.comX
- Subject: Computer Science
- Level: Intermediate
- Prerequisites:
Participants should have taken the first two courses (below) and be comfortable working with Python in a cloud-based environment. Learners will gain maximum benefit if they have some familiarity with software development, including git, logging, testing, debugging, code optimization and security.
- Language: English
- Video Transcript: English
- Associated programs:
- Professional Certificate in Machine Learning Operations with Microsoft Azure (MLOps with Azure)
- Associated skills:Microsoft Azure, Automation, Data Pipeline, Addressing Ethical Concerns, Machine Learning, Data Science, Mathematical Optimization, Forecasting