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What are the 4 basics of Machine learning ?

What are the 4 basics of Machine learning? There are four basic approaches:supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.Machine Learning is an application of artificial intelligence where a computer/machine learns from the past experiences (input data) and makes future predictions. The performance of such a system should be at least human level. In …

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Process of Data Science

The data science process, which is a structured framework used to complete a data science project, is something that virtually all professionals agree on, despite the fact that data scientists frequently disagree regarding the implications of a particular data set. There are numerous frameworks, some of which are better suited to business use cases and …

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What You Need To Know About DATA VISUALIZATION

What You Need To Know About DATA VISUALIZATION Data visualization is the process of creating visual representations of data in order to understand and communicate complex information effectively. It involves selecting the appropriate visual encodings, such as charts, graphs, maps, or diagrams, to represent the data in a way that is easy to comprehend and …

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How machine learning works in Mobile Fingerprint sensor

How machine learning works in Mobile Fingerprint sensor Fingerprint method of identification is the oldest and widely used method of authentication used in biometrics. There are several reasons like displacement of finger during scanning, environmental conditions, behavior of user, etc., which causes the reduction in acceptance rate during fingerprint recognition. We are identified by using the …

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