This article by Jeff Holmes provides an overview of how to get started with an AI project. It highlights the discipline of AI Engineering as the application of software engineering best practices to AI. It also distinguishes between AI, machine learning (ML), and deep learning (DL), explaining that ML is a subset of AI and DL uses neural networks similar to the human neural system. The article emphasizes the importance of defining the problem and dataset for an AI project and provides guidance on model selection and understanding algorithms. It also provides additional resources for learning AI.
source update: Getting Started with AI – Towards AI