Is there any difference between data science and machine learning?

Let’s see some differences between these two disciplines

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Data Science and machine learning are two wonderful and exciting disciplines and are a great part of our lives. Sometimes people confuse them, but they are quite different things.

What data science is

Data Science is, like the name suggests, the science of data. It’s a set of techniques and tools that make the data scientist extract information behind data. Such a mining process can be done using statistical tools or mathematical models. Most of the time, a data scientist uses data visualization techniques. Visualizing something is a good way to understand it and when we understand something, we are gathering information. That’s the purpose of data science: to extract information.

A good data scientist must master math, statistics, programming and data analysis, focusing particularly on visualization. Information can be extracted without making use of complex algorithms. On the contrary, simplicity is always a good choice when it comes to explaining phenomena starting from the data they produce.

Data science is not applying machine learning models blindly looking for the highest accuracy possible, it’s not bypassing the…