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Fraud represents a significant problem for governments and businesses and specialized analysis techniques for discovering fraud using them are required. Some of these methods include knowledge discovery in databases (KDD), data mining, machine learning and statistics.
Credit card fraud is an inclusive term for fraud committed using a payment card, such as a credit card or debit card. [1] The purpose may be to obtain goods or services or to make payment to another account, which is controlled by a criminal.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k -means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high ...
Embedded Machine Learning is a sub-field of machine learning, where the machine learning model is run on embedded systems with limited computing resources such as wearable computers, edge devices and microcontrollers. [164][165][166] Running machine learning model in embedded devices removes the need for transferring and storing data on cloud ...
Fraud detection deals with the identification of bank fraud, such as money laundering, credit card fraud and telecommunication fraud, which have vast domains of research and applications of machine learning.
PyTorch is a machine learning library based on the Torch library, [4][5][6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella. [8][9][10][11] It is one of the two most popular deep learning libraries alongside TensorFlow, offering free and open-source software released under the ...
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. [3][4] It is one of the two most popular deep learning libraries alongside PyTorch. It was developed by the Google Brain team for Google 's internal use in research and ...