A machine learning algorithm is a set of rules or processes used by an AI system to conduct tasks.
PCA is a dimension reduction technique likelinear discriminant analysis(LDA). In contrast to LDA, PCA is not limited tosupervised learningtasks. Forunsupervised learningtasks, this means PCA can reduce dimensions without having to consider class labels or categories. PCA is also closely related to f...
A common use of unsupervised machine learning is recommendation engines, which are used in consumer applications to provide “customers who bought that also bought this” suggestions. When dissimilar patterns are found, the algorithm can identify them as anomalies, which is useful in fraud detection....
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For instance, if we want a computer to recognize images of cats, we don't provide it with specific instructions on what a cat looks like. Instead, we give it thousands of images of cats and let the machine learning algorithm figure out the common patterns and features that define a cat....
PCA Use Cases Example 1: Improve Algorithm Runtime KNN is a popular machine learning classifier, however its performance can be slow. In the next example, we produced a classification dataset of 1M records with 200 features. Only 5 of them informative. ...
A common use of unsupervised machine learning is recommendation engines, which are used in consumer applications to provide “customers who bought that also bought this” suggestions. When dissimilar patterns are found, the algorithm can identify them as anomalies, which is useful in fraud detection....
Machine Learning (ML) is a sub-category of artificial intelligence, which is the process of computers leveraging neural networks to recognize patterns and improve is ability to identify these patterns. With enough fine-tuning and data, a machine-learning algorithm can predict new patterns and inform...
Machine learning algorithms learn from data to solve problems that are too complex to solve with conventional programming