Machine Learning
Machine Learning

Machine Learning

What do you think of when you hear the term machine learning ?. What is the first word that comes to mind ?. Some people will come up with T-1000, the antagonist from The Terminator or maybe from The Transformers (Human Machine ?). That is fine because they barely knew the linguistic term means.

Let me give you one example. You want to buy something, a book maybe or probably an action figure. Opening your browser, searching your lovely book, and then the search engine will give you the most relevant links. Click the link and go to the website or online store. Every time you click the link, the system will record it in your profile.

You buy from the online store with any genre. The system from the online store learns from this. When people try to find the book, the system will give them the most related books. People who love the book of gardening sometimes buy recipes book, etc.

Machine Learning

Another example when you buy a cookie from the store you will be given Rp.3000 rupiah discount for buying tea. Why is that ?. Because from the historical data we can learn that peoples always buy cookie and tea.

This is where machine learning works. Machine learning is actively being used today with different kind of methods and algorithm. With machine learning, we can gain insight from a dataset. We can make the data more useful and can produce interesting fact we can use.

Peter Harrington said that machine learning lies at the intersection of computer science, engineering, and statistics. Often appears in other disciplines too like math. Using machine learning, we can predict a problem whose will rise or maybe a solution for a problem like an earthquake or tsunami. In business, we can predict trends in the future. Of course, if we said to predict that means not 100% accurate.

In the world with almost anything connected to the internet like laptops, smartphones, even appliances, data become the most crucial things. Without proper handling, it can just blow away from our hands. We must be smart, use the proper method for handling the data. This first article just an introduction to machine learning. I hope in the next article I can give you more about machine learning.

PS: any suggestion do not hesitate to comment or contact me

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