Original article was published on Artificial Intelligence on Medium
Is Data Science & Machine Learning the Same?
A Dive-in to the Concepts of Data Science & Machine Learning
We have seen that many people use the two terms, Machine Learning and Data Science interchangeably when referring to either one of them. There was always a question in my mind whether these two are the same.
Therefore, I did some digging, and here’s what I found.
Data science can be described as the description, prediction, and causal inference from both structured and unstructured data. This discipline helps individuals and enterprises make better business decisions¹.
Simply saying, Data Science is about analyzing data deeply in order to make more accurate and effective decisions. There are specific job roles for this purpose as well. Data Analysts analyze data in order to find patterns in them and to bring out meaningful insights. On the other hand, Data Scientists do a deep study of the past data in order to predict the future.
Machine Learning is a branch of Artificial Intelligence (AI), which is the study of intelligent machines, brought forward by the father of AI, John McCarthy. Machine Learning is about training a computer (a machine learning model to be specific), to perform various tasks on its own. Deep Learning also falls under Machine Learning where we use advanced Neural Networks to do the predictions. We can use Machine Learning in scenarios such as;
- Image Recognition
- Speech Recognition
- Natural Language Processing
So How does Machine Learning Relate to Data Science?
Many people say that Machine Learning is the same as Data Science. In my opinion, and according to what I found, they are not the exact same.
Machine learning is being applied in nearly every industry. Cutting costs by letting a machine learning algorithm make decisions is a very lucrative solution to many problems².
Machine Learning is used in various industries like Medical, Transport, Construction, etc. And Machine Learning is also used as a tool for analyzing data.
Usually, it is a Data Analyst that would be analyzing data in order to obtain various insights. But with the massive data that is collected every day today, it is practically impossible for a person to analyze all of it³. Data Mining is the technique that Data Analysts tend to use in order to work on existing data⁴. While Data Scientists can easily perform their predictions with the help of Machine Learning, as it trains the computer with data and can do predictions on the scenarios we give. That is why Data Scientists require knowledge of Machine Learning, as it draws aspects from statistics and algorithms to work on the data generated and extracted from multiple resources⁵.
In a Data Scientist’s perspective Machine learning refers to a group of techniques used by data scientists that allow computers to learn from data². Which in return helps them with their prediction purposes according to the data that has been collected/generated.
So, I have come to the end of the findings I’ve collected. I hope this article gave you a good idea of whether or not Machine Learning and Data Science are the same.
Thanks for reading!