introduction to machine learning and deep learning the journey of deep learning starts with the field of artificial intelligencethe rightful parent of the fieldand has rich history going back to the the field of artificial intelligence can be defined in simple terms as the ability of machines to think and learn in more layman wordswe would define it as the process of aiding machines with intelligence in some form so that they can execute task better than before the above figure - showcases simplified landscape of ai with the various aforementioned fields showcased subset we will explore each of these subsets in more detail in the section below ule-based systems the intelligence we induce into machine may not necessarily be sophisticated process or abilitysomething as simple as set of rules can be defined as intelligence the first-generation ai products were simply rule-based systemswherein comprehensive set of rules were guided to the machine to map the exhaustive possibilities machine that executes task based on defined rules would result in more appealing outcome than rigid machine (one without intelligencea more layman example for the modern-day equivalent would be an atm that dispenses cash once authenticatedusers enter the amount they want and the machinebased on the existing combination of notes in-storedispenses the correct amount with the least number of bills the logic (intelligencefor the machine to solve the problem is explicitly coded (designedthe designer of the machine carefully thought through the comprehensive list of possibilities and designed system that can solve the task programmatically with finite time and resources most of the early day' success in artificial intelligence was fairly simple such tasks can be easily described formallylike the game of checkers or chess this notion of being able to easily describe the task formally is at the heart of what can or cannot be done easily by computer program for instanceconsider the game of chess the