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       #Post#: 132--------------------------------------------------
       Easier with examples
       By: Himon kumar Date: August 30, 2023, 6:51 am
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       Works in the digital marketing market are also provided. More
       importantly, we want to invite readers to imagine the future of
       markets. Both for what you're doing today and for new features
       that haven't been invented yet. What is machine learning? First,
       the definition of machine learning is simple. Simply put,
       machine learning is a type of artificial intelligence that
       learns by recognizing patterns and applying them. It doesn't
       look as simple.
       As we make it sound, but it gets . For example, let's imagine
       learning in an infant. He learns about the world through trial
       and error, laying out patterns along the way without knowing
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       what the word pattern means.
       When he sees one exit that shocks him, he knows that all exits
       must also shock him (a pattern). Another example, when a child
       drinks water, he finds that the water quenches his thirst. When
       he feels thirsty again
       [img]
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       What is the first solution that comes to his mind? Well, the
       same pattern applies to machines, which we call machine
       learning. It is important to consider that this concept is not
       new. To illustrate this, let's take another example, let's
       imagine a plantation no matter what technology is used. Every
       year, the seasons change the landscape of the region and affect
       what coffee plantations grow or don't grow. With these lessons
       learned, producers can plan plantings based on this information.
       Therefore, the chances of success in repeating previous
       plantings are much greater.
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