Machine learning. Terms that you have often heard, but may still feel foreign. Don’t worry, because after reading this article, you will know in full what machine learning is. By learning machine learning, you not only add to your understanding of new, trending terms, but also learn about one of the important technologies that we often feel the benefits of. More curious, right? First of all, let’s discuss the meaning of machine learning! Contents hide 1 what is machine learning? 2 why is machine learning important? 3 how does machine learning work? 3.1 1. A decision process 3.2 2. An error function 3.3 3. An optimization process model 4 what are the most popular machine learning methods? 4.1 1. Unsupervised machine learning 4.2 2. Supervised machine learning 4.3 3. Semi-supervised learning 5 7 examples of using machine learning in the real world 6 how to learn machine learning? 6.1 1. Learn machine learning basic insights 6.2 2. Practice the material you’ve learned 6.3 3.

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Run a machine learning project 7 want to learn more about data science and machine learning? What is machine learning? Machine learning is a data analysis method that allows the system to study data independently. Either with a little help, or even without human intervention at all. In other words, now machines can not only work automatically, but can also learn to improve their performance over time. Machine learning robot illustration oh yes, machine learning itself is a branch of artificial intelligence . No wonder this technology can make machines more “smart”. This intelligence comes from analyzing data patterns. Like humans, the more you Netherlands WhatsApp Number List do math problems, the more you will understand the correct formula pattern to solve the problem, right? Likewise with machine learning. So, the process of identifying repeated patterns can help the system predict the results of the analysis being carried out. How? So sophisticated right? But… What exactly makes machine learning so important.

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Especially in the digital era? Why is machine learning important? Everyone knows that in the digital era, the amount of data is increasing . In 2020 alone, the average data created per person every second was 1.7 mb . Imagine, in seconds! So, it can be concluded that the longer, the more data available. Of course, this is a good opportunity, because data can provide many benefits . In fact, president jokowi even said that data is “more valuable than oil”. Jokowi data quote the problem is, how to process so much data so that it becomes useful information? Well, this is a problem that machine learning is capable of solving . This is because Mobile Lead the increased volume and variance of data can be analyzed more efficiently using this method. Still can’t imagine? Let’s take an example. Suppose you work in the investment and banking sector. Every day, you face customers who submit credit requests. In dealing with this scenario, there are two options you can choose from you can analyze customer data one by one to find out their risk profile.

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