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As time goes by, technology becomes more and more advanced. These advancements are aimed at making the day-to-day life a little be easier. The next era of technology set to change the world is machine learning. For those who don’t know what that is, machine learning uses algorithms to encode human thinking and decision-making into technology. This takes computer performance to the next level. Traditionally, computers and other technology only know yes/no or other logical answers. Machine learning will implement actual thinking and consideration the way humans do.

Take for example, looking up a location on your phone or computer. The only reason the computer knows where to find it is because humans have programmed it to know that. A computer does not have actual intelligence of knowing—it was only programmed. There still needs to be a human telling the computer what something is and giving it the data that it needs to know. As machine learning begins to take off and advance, that could all change.

Machine learning will be able to teach computers and other systems to learn in the same way humans do. This will be accomplished by the computer being able to interpret data from the world and life itself. It will be able to study it, understand it, and learn from its triumphs and mistakes. Since the 1950’s when humans first began teaching machines to play chess, machine learning has been in place. Soon it will be a revolution in artificial intelligence.

As technology began to advance, the more data computers and machines have collected. The amount of data that has been collected over the years is far too great for anyone to know what to do with—but a computer just might. Machine learning is aimed at computers collecting all over this data and being able to learn from it the way humans would, maybe even better than humans. Many different algorithms have been tested over the years to bring machine learning to life. These algorithms were drawn from the use of statistics, linear regression and sampling to assign probabilities to make certain predictions.

If machine learning becomes a success, it could lead to a very bright technological future. Doctors may be able to understand disease manifests and how to cure it, scientists could gain a better understanding of data collected from space, or simply retailers using data to predict what customers will want to buy from them. With machine learning, the possibilities are endless.