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After that, then you can use more unlabeled data for analysis. 7 examples of using machine learning in the real world up to this point, you already know how machine learning works and also the various methods of using it. But, actually what is an example of machine learning practice in the real world? Of course there are many examples that you can find. However, here are some of the most popular examples: health sector – machine learning can be applied to devices that function to analyze patient health. In addition, this technology can also use historical data to predict diseases that have the potential to emerge. Retail industry – retail companies can use machine learning for many things. Starting from analyzing prices, planning the procurement of goods, to offering the right product recommendations to potential customers.
Transportation sector – machine learning can also be used to analyze the most efficient routes for logistics or public transportation companies. Thus, obstacles such as traffic jams, wrong roads and the like can be prevented. Governance – problems with impersonation Uk Phone Number List can be solved with machine learning. Therefore, this technology can also be utilized in the government sector. Finance – businesses in the investment and banking sectors can utilize machine learning to identify the risk profile of each customer. Thus, this can prevent risks related to fraud or default. Customer service – have you ever used a chatbot? Well, this technology is a form of using machine learning. Because chatbots must be able to "learn" to provide accurate answers to their users. Voice recognition technology –. In practice, voice recognition uses natural language processing (nlp) to convert speech into writing.
Accurate writing results are also obtained by utilizing machine learning methods. How to learn machine learning? So, are you now interested in learning more about machine learning? What exactly do you need to master? Illustration of typing on a laptop here are the steps you can follow to learn machine learning: 1. Learn machine learning basic insights if you are still completely new to data, there are a number of things you should learn before entering the realm of machine learning. First of all, you should find out about using python, statistics, and math in data science . Because you will often use these three components when studying machine learning. After that, you need to learn data science . Either through books, seminars, or online courses. By studying data science, you will understand the foundation of machine learning. There are lots of study references out there to choose from, but which one is the best for learning data science from beginner to expert levels? You don't have to look far, because at bitlabs, you can join the data science online bootcamp program .
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发表于 2023-3-28 13:22:25