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Dr Surabhi Singh has an experience of around 20 years in academics and industry. Being an ardent researcher, her areas of academic interest include Digital Marketing, Consumer LESS … MORE
Machine learning is a method of data analysis that automates analytical model building. Marketing Data analytics is tool based approach for managing customer value forcused on extracted data. The machine learning enables the continuous data processing and python facilitate the same. The flexibility of Python provides the first choice to the developers.
The machine learning enables the systems to learn and make patterns for decision making. It can be used to extract the detailed insights in the particular area. Marketing analytics focuses on the examination of data sets to identify and explain consumer trends. Both of the the areas relies on analysing huge amounts of data.
The more information is available, the more effective they are at producing results. It often takes a lot of computer processing power to manage such large data sets. These technologies can also help to create forecasts and predictions based on existing data, this process can help organisations of all kinds plan for the future and make informed decisions.
The machine learning extract the data, creates the algorithm and learn from it. Its an application of Artificial Intelligence. A good example of machine learning implementation is Facebook. The algorithm of Facebook gathers behavioral information for every user on the social platform. Based on one’s past behavior, the algorithm predicts interests and recommends articles and notifications on the news feed.
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Views expressed above are the author’s own.
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