shopping mall
In this article, we will explain how unsupervised learning techniques can help group customers based on their shopping trends. There are two main algorithms used for clustering the data: K Means Clustering and Hierarchical Clustering. In this article, we will see how K-Means Clustering can be used to divide customers with similar shopping habits into groups.
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As big data gets bigger by the day, concerns over security and privacy loom large. The much publicized Equifax data leaks, as well as Cambridge Analytica’s misuse of user data, are but two of the numerous incidents that have horrified internet users worldwide as they wake up to the fact that their lives are not as...
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When we talk about CI/CD, it infers that we want to enhance our product continuously without compromising on quality. The frequency of delivery may vary from product to product. It also depends on how robust the pipeline is for CI/CD. Budget is another factor where organizations may slow down on delivery as they are not comfortable...
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However, there are still cases where traditional machine learning algorithms are significantly ahead of artificial neural networks. Particularly in the case of smaller datasets, machine learning techniques are still handsomely outperforming the deep learning approaches.
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