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What is machine learning? ML is a computerscience, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks.
Artificial Intelligence (AI): A branch of computerscience focused on creating systems that can perform tasks typically requiring human intelligence. Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases.
For example, in fraud detection, SVM (supportvectormachine) can classify transactions as fraudulent or non-fraudulent based on historically labeled data. For example, The K-NearestNeighbors algorithm can identify unusual login attempts based on the distance to typical login patterns. That’s not the case.
Instead of treating each input as entirely unique, we can use a distance-based approach like k-nearestneighbors (k-NN) to assign a class based on the most similar examples surrounding the input. Diego Martn Montoro is an AI Expert and Machine Learning Engineer at Applus+ Idiada Datalab.
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