Apr 18, 2021More about Planning PokerIn the last post, we discussed the planning poker as one of the famous agile estimation techniques. Let’s dig into more details about that estimation technique. When using this technique, we have to consider the following: This technique is consensus-driven approach and not voting, so don’t take the estimation of…Agile Methodology4 min readAgile Methodology4 min read
Apr 18, 2021Story Points Demystified — Part 2I really like what Mike Cohn explained in one of his posts about story points, story points are about effort, despite so, when calculating the story points there are some factors we have to consider; these factors affect our estimation directly: Complexity: how complex the user story is. Risk: what…Agile4 min readAgile4 min read
Apr 18, 2021Story Points Demystified — Part 1The estimation using story points is a relative sizing, so you can usually refer to the smallest or the easiest user story to be estimated as a reference story, then you relatively size the other stories. The scale used for the story points is exponential scale (such as Fibonacci sequence)…Agile2 min readAgile2 min read
Mar 21, 2021Train & Fine-tune ML Models Using Azure ML SDK (Part 1)A series of articles about Azure Machine Learning SDK and how to use the SDK to build an end-to-end ML pipelines. Introduction Azure ML provides us with great tools to build, fine-tune and operationalize machine learning models. …Azure Ml7 min readAzure Ml7 min read
