what is deep learningartificial intelligencemachine learningand deep learning firstwe need to define clearly what we're talking about when we mention ai what are artificial intelligencemachine learningand deep learning (see figure )how do they relate to each otherartificial intelligence machine learning deep learning figure art ificial int elligencemachine learningand deep learning artificial intelligence artificial intelligence was born in the swhen handful of pioneers from the nascent field of computer science started asking whether computers could be made to "think"-- question whose ramifications we're still exploring today concise definition of the field would be as followsthe effort to automate intellectual tasks normally performed by humans as suchai is general field that encompasses machine learning and deep learningbut that also includes many more approaches that don' involve any learning early chess programsfor instanceonly involved hardcoded rules crafted by programmersand didn' qualify as machine learning for fairly long timemany experts believed that human-level artificial intelligence could be achieved by having programmers handcraft sufficiently large set of explicit rules for manipulating knowledge this approach is known as symbolic aiand it was the dominant paradigm in ai from the to the late it reached its peak popularity during the expert systems boom of the although symbolic ai proved suitable to solve well-definedlogical problemssuch as playing chessit turned out to be intractable to figure out explicit rules for solving more complexfuzzy problemssuch as image classificationspeech recognitionand language translation new approach arose to take symbolic ai' placemachine learning machine learning in victorian englandlady ada lovelace was friend and collaborator of charles babbagethe inventor of the analytical enginethe first-known general-purposemechanical computer although visionary and far ahead of its timethe analytical licensed to