Tag

Machine Learning
In a previous article (add a link to the last article), you saw how Python’s Matplotlib and Seabron libraries can be used to plot some of the basic types of plots such as bar plot, pie plot, and histograms, etc. In this article, you will see how to plot time series data using Python’s Pandas...
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In the previous blog (add a link to the second article), we explained the process of time series data visualization in Python. In the article before that (add link) you saw how to plot some of the basic Python plots. However, the graphs plotted in the previous articles were static and non-interactive. In this article,...
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“People who bought Item X also bought item Y.” Whenever you buy something from Amazon or eBay, you would have seen suggestions like these. Ever wondered how Amazon and eBay finds the related products for users? The answer to this question lies in a complex statistical algorithm known as a recommender system or recommendation engine.
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How AI is Transforming Businesses
Creating an artificial intelligence service in-house can cost your business quite a lot of money. It is also a fact that not all businesses can afford this type of expenditure. The solution to this problem is to totally outsource your artificial intelligence requirements and let someone else take the pain for you albeit for certain...
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How AI is Transforming Businesses
An increasing number of businesses are applying artificial intelligence (AI) to solve some of their long lasting problems. In fact, AI has totally revolutionized the way businesses are run. The introduction of Cloud Machine Learning platforms by Microsoft, Google, Amazon, and Azure have also resulted in the immense popularity of AI among various types of...
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Fradulant Transaction Detection
Anomaly, also known as an outlier is a data point which is so far away from the other data points that suspicions arise over the authenticity or the truthfulness of the dataset. Hawkins (1980) defines outliers as: “Observation which deviates so much from other observations as to arouse suspicion it was generated by a different...
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