Artificial intelligence, much like statistics and calculus, has become a valuable tool in engineering and experimental research. The pillars of data science—deep learning, artificial intelligence, and Machine Learning [ML] —are pivotal for scholars in this rapidly expanding field. This article elucidates the interconnections among these foundational elements of data science. Machine Learning [ML] serves as a prerequisite for any analytical endeavor, and this article delves into the process of building Machine Learning [ML] models from scratch. Deep learning, often referred to as the latest wave in machine intelligence, receives special attention, with an exploration of its fundamental architecture. Furthermore, the report conducts a proportional analysis among deep knowledge & Machine Learning [ML] , offering researchers a comprehensive viewpoint. Keywords: Machine Learning [ML] , Deep learning, Artificial Intelligence, shallow learning.