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Data science is, broadly, a mix of concepts from math, computer science, and statistics. Students should have a degree in a STEM area, which stands for science, technology, engineering, or math.
Math is needed for jobs in data science because it is used in machine learning algorithms, data analysis, and finding insights from data. Even though math isn't the only skill you'll need to study and work in data science, it's often one of the most important.
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These are the best ways to learn AI:
Robotics experts use many kinds of technology, like mechatronics, computer science, AI, and mechanical engineering. A robotics engineer can work alone or with a team to make robots that can do different things based on what they are used for.
A generative model can use what it has learned from the examples it has shown to develop something completely new. So comes the word "generative!" Large language models (LLMs) are generative artificial intelligence because they create new combinations of text that sound like normal language.
In the cardiology area of the Mayo Clinic, doctors use an AI program to help find new heart problems. In another place, a group of primary-care doctors is using it to help find a disease that can cause blindness in the eyes. Several hospitals use it to find people who are at risk for sepsis.
For AI to be used in marketing, it needs to collect data, learn how customers act, and then examine this information to help a business reach its goals. AI can also reach out to customers who do something special on your website, like click a button or like a post on social media.
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