Part 4 of AI Course: The Complete AI Project Workflow Every Data Scientist Should Know
AI and Data Science Are Growing Fastest “Every Successful AI Team Follows A Workflow, Here’s Yours…”, in the coming weeks and days you might start learning your favorite programming language or training ML algorithms or use the favorite framework. Many of the people starting AI or ML may miss understanding the entire workflow that every Data Scientist, Machine Learning Engineer, AI engineer, or Data analyst in the industry follows. Believe me, this is one of the most critical parts of building an AI project successfully. What actually happens, is when you work for some organisation or client. Most of the time, the problem statements are not properly given. What I have seen is usually people given data and asked to find “insights”. They expect them to make sense of it and bring the value in a project. An AI project doesn’t run by picking up a machine learning model and starting training. It follows a defined lifecycle that often begins with understanding the problem to deploying a model...
