What we know about machine learning right now it’s just the tip of the iceberg. This technology is developing rapidly and it became one of the most promising trends of 2020. In our article, we will focus on explaining what machine learning is, what it can be used for and what it shouldn’t be confused with.
Machine learning is the field of science that fuses robotics, statistics and informatics. It is a part of scientific studies that deal with artificial intelligence (AI). The primary purpose of machine learning is to create an automatic system that can continuously improve itself without human interference. The only thing it uses is collected data that is analyzed by it to find specific patterns impossible to spot by people. This way, the machine can learn new things only by analyzing existing information and drawing conclusions out of it.
Machine learning is one step ahead from all previous systems that were used by humans to solve problems and discover patterns. Gavin Edwards, the author of a very insightful Medium article about machine learning is citing François Chollet, a software engineer and the author of a book titled Deep learning with Python to explain why is that:
“Traditionally, software engineering combined human-created rules with data to create answers to a problem. Instead, machine learning uses data and answers to discover the rules behind a problem.”
That’s pretty self-explanatory. The algorithms that are part of machine learning systems can process enormous amounts of data, and that is not just new data someone needs to put in there beforehand. After it is connected to an engine (think Google), it swiftly checks out every info that is out there and when someone interacts with it, machine learning updates its knowledge and finds new solutions to the current state.