Machine learning essentially implies that you’re preparing the machine to do something based on given data and Image Processing is one such thing which analyzes and manipulates any digitized image to improve product quality. For example, the combination of these two processes gives an improved result in face recognition lock-unlock facility in mobile phones.
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Machine learning is the science of getting computers to act without being explicitly programmed. According to John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”.
Image processing is a method to convert an image into digital form by means of digital computer and perform some operations on it. It can then be used in order to get an enhanced image or to extract some useful information from it.
Natural Language Processing (NLP) draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.
Analysis refers to breaking a whole into its separate components. It is a process for obtaining raw data and converting it into useful information for decision-making by users. Data are collected and analyzed to answer questions or test hypotheses.