Originally written by Henok Yemam on TDS (link)- Republished by author approval. The infamous data science workflow with interconnected circles of data acquisition, wrangling, analysis, and reporting understates the multi-connectivity and non-linearity of these components. The same is true for machine learning and deep learning workflows. I understand the need for oversimplification is expedient in … Machine Learning with Jupyter: Solving the Workflow Management Problem using Open-platforms Read More »