Numerous freshman inventors find themselves confused between 'Machine Learning (ML)' and 'Deep Learning (DL).' You want to make cool AI systems, but where exactly should you start? Which of the two technologies should you learn first? To give you the conclusion outspoken: I explosively recommend learning Machine Learning first. Deep Learning is a subfield of Machine Learning. However, you'll snappily hit a wall if you start tinkering with deep literacy fabrics without understanding introductory machine learning generalities and principles. Grounded on my own trials and crimes, this post will serve as a practical roadmap to help you efficiently come an AI inventor. 1. Crucial Generalities: What Exactly is the Difference Between ML and DL? My Story: originally, I was drawn to the glamour of Deep Learning (like AlphaGo!) and installed TensorFlow incontinently. still, within a many weeks, I was frustrated by introductory questions like "What's a subcaste?"...