Data science vs. Machine Learning vs. Artificial Intelligence

Data science vs. Machine Learning vs. Artificial Intelligence

In this tutorial on "Data Science vs Machine Learning vs Artificial Intelligence," we are going to cover the whole relationship between them and how they are different from each other.

Artificial Intelligence and Machine Learning are used for data acquisition or to gather the data to help the data scientists in the form of insights. Data science basically helps to involve analysis, visualization, and prediction and It also uses different statistical techniques. While Artificial Intelligence helps to implement models to predict future events and makes use of algorithms. In this tutorial on "Data Science vs Machine Learning vs Artificial Intelligence," we are going to cover the whole relationship between them and how they are different from each other.

While the terms Data Science, Artificial Intelligence (AI), and Machine learning fall in the same domain and are connected to each other, they have their specific applications and meaning. There are overlaps in these domains every now and then, but essentially, each of these three terms has unique uses of their own. Here is a brief about Data Science vs Machine Learning vs AI.

Modern technologies like artificial intelligence, machine learning, and data science have become the buzzwords that everybody talks about but no one fully understands. They seem very complex to a layman. All these buzzwords sound similar to a business executive or student from a non-technical background. People often get confused by words like AI, ML, and data science. In this tutorial, we explain these technologies in simple words so that you can easily understand the difference between them and how there are being used in business.

data-science machine-learning artificial-intelligence

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