Rahat Yasir works at ISAAC Instruments as Director of Data Science & AI to lead their Data & AI initiatives for data-driven & AI-powered transportation industry. He was selected as Canada's top 30 software developer under 30 in 2018. He is an eight times Microsoft Most Valuable Professional award holder in the Artificial Intelligence category. He has years of experience in imaging and data analysis application development, cross-platform technologies and enterprise system design.
Published by Rahat Yasir
Machine Learning Workflow Review
This fourth article in this series, "Tech Leaders’ Journey to AI Using Azure Machine Learning Platform,” describes the general machine learning workflow where I’ll explain end-to-end steps to train, test, and evaluate a machine learning model. The list of other articles in the series are listed at the end and, as the series is published, the articles will have links to each other.
Azure Machine Learning Compute Review
In this series, “Tech Leaders’ Journey to AI Using Azure Machine Learning Platform,” I have 15 articles on concepts ranging from MLOps to a step-by-step approach for model development and deployment. This third article describes Azure Machine Learning compute options, why you need compute, and how to create compute in Azure Machine Learning. The list of other articles in the series appears at the end of this article and, as the series is published, the articles will have links to each other.
Azure Machine Learning Workspace Review
In this series, “Tech leaders’ journey to AI using Azure Machine Learning platform,” I will have 15 articles to cover concepts ranging from MLOps to a step-by-step approach for model development and deployment. This second article describes Azure Machine Learning workspace, machine learning components, and ways to interact with components in the Azure ML workspace. The list of other articles in the series are listed at the end and as the series is published, the articles will have links to each other.
MLOps Components Review and Machine Learning Platform Selection
In this series, “Tech Leaders’ Journey to AI Using Azure Machine Learning Platform,” I will have 15 articles to cover concepts ranging from MLOps to a step-by-step approach for model development and deployment. This first article describes MLOps components and why I picked Azure Machine Learning platform.