Leveraging Deep Learning for Improved Predictive Analysis

Machine learning has readily improved the way we interact with the internet. One such example would be the spam filter which readily separates unwanted emails from an expansive list of received snippets. However, it is quite intriguing to understand the modus operandi involved in the functioning of these spam filters as segregating mails based on the user ID isn’t a plausible option. Moreover, most spams are directed from legit email IDs which are in turn hacked by a third party phishing body. Therefore, the only way to differentiate would be the email content which can be translated beforehand using Machine Learning. This area of Business Intelligence is based on the caveats of self-learning— using automated structures to assess the data. On using the concepts of machine learning, we can create…


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