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Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.
Leaders in financial technology (fintech) companies have long known the benefits of using the data they have to build, manage, and grow ..
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Machine learning algorithms require training data. Changing algorithms can affect accuracy. But, the quality of training data has more profound ..
Many machine learning algorithms require predicting the class of given data. You can make simple predictions with the Random Forest Algorithm. ..
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Monitoring Apache logs is a daily requirement of a DevOps engineer. A tedious task. Visualization of Apache logs can make monitoring more ..