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ML is the science that is "concerned with the question of how to construct computer programs that automatically improve with But unless it is automatically learned from If you can write a very clever program that has, say, human-like behavior, it can be AI. making art or poetry), and controlling robots.Īnd, the behavior of a machine is not just the outcome of the program, it is also affected by its "body" and the enviroment it is Planning how to achieve goals, moving around in the world, recognizing objects and sounds, speaking, translating, performing social orīusiness transactions, creative work (e.g. This is fairly generic and includes all kinds of tasks such as abstractly reasoning and generalizing about the world, solving puzzles, It is related to theĬomputers to understand human intelligence, but AI does not have to confine itself to methods that are biologically Recent news, blogs and media? For example, when AlphaGo ĭefeated South Korean Master Lee Se-dol in the board game Go in 2016, the terms AI, ML, and DL were used in the media to describe howĪccording to, e.g., Stanford's John McCarthy, one of the founders of the field,ĪI is "the science and engineering of making intelligent machines, especially intelligent computer programs. However,Īre AI, ML and DL really the same things, as suggested by many Multiple research disciplines, from cognitive sciences to biology, finance, physics, and the social sciences, as wellĪs many companies believe that data-driven and "intelligent" solutions are necessary in order to solve many of their key problems. The problem has shifted fromĬollecting massive amounts of data to understanding it - turning it into knowledge, conclusions, and actions. Data isīecoming more meaningful and contextually relevant, breaks new ground for machine learning (ML), in particular for deep learning (DL),Īnd artificial intelligence (AI), and even moves them from research labs to production. The world is growing at an exponential rate, and so is the size of data collected across the globe. Artificial Intelligence = Machine Learning ?īig Data is no fad.
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