In the current world I see there are tasks that are too complex for programmers to code directly. But with the help of Machine Learning we can train computer systems to explore large amounts of data and generate a model that will achieve what programmers have set it out to achieve. One of the popular examples is Facebook’s News Feed. The News Feed uses machine learning to personalize each member's feed.
Now let me briefly explain what machine learning is and how it is going to work. Machine Learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output generated when you train your machine learning algorithm with data. models are online and continuous. This iterative process of online models leads to an improvement in the types of associations made between data elements.
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The percentage of businesses planning to apply machine learning to decision-making is currently at 65%.
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Machine learning is an exciting branch of Artificial Intelligence that helps computer systems learn and improve from experience. By developing computer programs that can automatically access data and perform tasks via predictions and detections, machine learning brings out the power of data in new ways.
To learn more about ML and its applications, check out this blog: https://bit.ly/3tVSfA9