Speed of execution â While one doctor can make a diagnosis in ~10 minutes, AI system can make a million for the same time. After learning about these technologies, you might be wondering, “Which is better, Data Science or Artificial Intelligence?” Below is a comparison table which aims to help you decide that. Data Science. Having millions of users signed up to the platform from across the globe, it uses a vast amount of research via Data Science to extract information regarding the social interactions of its users. Many a time, people think of it as the same thing, but they are not the same thing in reality. As per Glassdoor, the salary of Data Scientists in the United States is about US$113k per annum and it may rise up to about US$154k per annum. Data science is also used for creating models with the help of statistical insights. It includes manipulation, data extraction, visualization, and data maintenance to name some. However, if you consider the purpose of both these technologies, well they have their own goals, and of course, they differ from one another to a great extent. This means, there might be a certain code or pattern that needs to be found out. On contrary to Data science is Artificial intelligence (AI). Data science is an umbrella term for statistical techniques, design techniques, and development methods, whereas artificial intelligence has to do with algorithm design, development, efficiency, conversions, and the deployment of these designs and products. Web Developer & SEO Specialist with 10+ years of experience in Open Source Web Development, specialized in Joomla & WordPress development. Both AI and Data Science are lucrative career choices especially because of their exponential growth rate. Learn Data Science by signing up for one of the best online Data Science Courses. The thing is, you can't just pick one of the technologies like data science and ML. In the case of artificial intelligence, the tools that are most used are Shogun, Mahout, Kaffe, TensorFlow Scikit-learn to name some. Now, let’s take a look at Artificial Intelligence and what it means. Can Big Data Help Save Endangered Species? It does not have a wide range of scope like Data science which is why data science is more in demand considering scope perspective in mind. This means, to gather data there is no limit. Well, these two are the most crucial technologies that are trending in today’s time. Difference between Data Science vs AI (Artificial Intelligence) By Tech Geek | May 16, 2020. Now that you have a clear understanding of data science and Artificial Intelligence, you may have some doubts in your mind. However, more recent and trending algorithms like Machine Learning and Deep Learning allow you to understand the trends and patterns in the given data and, thus, to find the aim of the data. Data Science vs AI (artificial intelligence) are two different aspects in the tech world. Other than this, the technologies that are used in Artificial Intelligence consist of the algorithms in computers. In Artificial Intelligence, there are mainly three steps involved: learning, reasoning, and self-correction. It is, in fact, the only real artificial intelligence with some applications in real-world problems. Surely, you might be aware of Artificial intelligence and data science. So, master these technologies by taking up a course we offer and build your career in any of these popular fields. Further, you gained knowledge of the several differences between AI vs Data Science. Although both Data Science and Artificial Intelligence fall in the same category and are inter-related, they are not the same. Artificial Intelligence. When considering the skills required to find jobs in these fields, they generally coincide with each other.
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