Introduction:
Machine learning and data science have been the most widely discussed topic in the 21st century. Most people often tend to confuse these two technologies. It is indeed true that these technologies are interrelated but they are definitely not the same. This article is aimed to burst the myth that data science and machine learning are similar. The primary objective of this article is to help the readers understand why learning data science is a very important prerequisite for machine learning.
Machine Learning:
It is a process that allows machines to act independently of any human command. They use the previously fed data and take future actions based on it. If you wish to venture into a career in the field of machine learning, it is necessary to have a basic knowledge of linear algebra, calculus, probability, statistics and programming. There are a plethora of courses that claim to help you understand machine learning from point zero. But the truth of the fact is that machine learning is completely dependent upon data analysis. Therefore, basic knowledge of data science is mandatory for Machine Learning. One of the most used skills in data Science is the ability to create machine learning algorithms.
Thus, it is pretty clear that venturing into the field of Machine Learning requires prior knowledge of Data Science. Big data forms a very important form of both these sciences, this makes their learning process completely dependent on each other.
When are you taught Machine Learning:
Machine Learning is generally taught after the student gets comfortable in Python and R programming languages. Both these languages are also an important part of Data Science learning. Machine Learning has been around for a while, just like data science but it is only due to the technological developments of the 21st century that both these technologies have been explored and utilized.
Conclusion:
Data Science is a mode of sorting and cleaning big data that helps machines get data which is then used by algorithms to recognize patterns and learn to perform tasks. Therefore, it is important to learn Data Science in order to become a Machine Learning Engineer. If a Machine Learning Engineer has the knowledge of Data Science it provides an added advantage in multiple aspects.
