Python Programming & Its Importance In Machine Learning

Since long before technology ever contributed so graciously to our lives, people have been fascinated by the idea of computers beginning to think like humans. Many people still confuse artificial intelligence with something evil, despite how important these “thinking machines” have been to our society. For starters, artificial intelligence refers to anything that can perform an intellectual task usually performed by a human. The most basic form of this is “if/then” programming. If a computer encounters a specific parameter in its program, the program tells it what to do next.  Machine learning, on the other hand, means systems can learn to perform tasks by themselves without human intervention through continued exposure to data. Some examples of this principle in action include weather forecasting and antivirus software. The more information these are exposed to, the more accurate their predictions and conclusions will be. As these innovations continue to evolve, so too will the utility they provide. Interested in learning more about how these technologies will continue to evolve and contribute to our daily lives? Read on to the infographic coupled alongside this post.

Python Programming & Its Importance In Machine Learning provided by Accelebrate, a company offering courses in Python Data Science training

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