{"id":6106,"date":"2020-06-04T10:29:35","date_gmt":"2020-06-04T04:59:35","guid":{"rendered":"https:\/\/www.univariety.com\/blog\/?p=6106"},"modified":"2020-06-23T14:23:11","modified_gmt":"2020-06-23T08:53:11","slug":"what-is-machine-learning","status":"publish","type":"post","link":"https:\/\/www.univariety.com\/blog\/what-is-machine-learning\/","title":{"rendered":"What is Machine Learning?"},"content":{"rendered":"

Our ability to learn from the past and get better at tasks through experience is what makes us humans. When we are born, we know nothing and can do almost nothing by ourselves. But soon, we\u2019re learning and becoming more capable every day. Machines such as computers follow instructions given by humans. But what if humans can train the machines from past data and do what humans can do, only much faster? Well, that\u2019s what is called Machine Learning. But it\u2019s a lot more than just recalling previous data, it\u2019s also about understanding and reasoning.<\/span><\/p>\n

Introduction To Machine Learning<\/strong><\/span><\/p>\n

Machine Learning brings together information and data with computer science to enable computers to learn how to do a task without being programmed to do so. Just as your brain uses experience to improve a task, so can a computer. Say you need a computer that can tell the difference between a picture of a dog and a picture of a cat. You can begin by feeding it images and telling it which images are those of dogs and which are of cats. A computer programmed to learn with seek statistical patterns within the data, which will enable it to recognize a cat or a dog in the future. It might figure out on its own that cats have shorter noses and dogs come in a variety of sizes, and then represent that information numerically. But the crucial part is that these patterns are identified by the computer, not the programmer. The computer then establishes the algorithms by which future data is sorted out.<\/span><\/p>\n

Of course, there can be mistakes. But that\u2019s where feedback from humans can help them refine these patterns and algorithms further. The more data the computer receives, the more finely tuned its algorithm becomes, and the more accurate it can be in its predictions.<\/span><\/p>\n

Machine Learning is divided into three broad categories: <\/span><\/strong><\/span><\/h3>\n