Difference between Machine Learning and Data Science

Posted by Teksands on March 18th, 2021

 Terms like Machine Learning, Data Science, and Artificial Intelligence have some significant overlaps, however, there are subtle differences mostly in terms of techniques and applications. In this article, we will discuss the some of these difference between Machine Learning and Data Science. 

Both Machine Learning and Data Science jobs are in high and increasing demand, so this is the right time to take any of them as a professional career. You can enroll in courses like Machine Learning Online Training in India, Online Courses on Data Science in India, or Python Online Training in India. 

Coming back to this article's topic, let's first understand what exactly is Machine Learning and Data Science.

Machine Learning: Machine learning is a branch of Artificial Intelligence where you study about Learning algorithms. By these algorithms, you can build a model based on training data, i.e. historical data. In simpler terms, you are enabling the models to make decisions through Machine Learning algorithms.

One great example of Machine Learning can be OTT platforms like Prime Video, Netflix, etc. Whenever you watch a series or a film, the sites will show you suggestions based on your watch history. Here a Machine Learning Algorithm has created advanced models to understand your behaviour and created suggestions based on that. 

Data Science: Data Science is an umbrella term. It involves the management, storing, and analysing the vast amounts of data. In simpler terms, Data Scientist uses raw and structured/unstructured data to extract valuable information out of it. 

One good example of Data Science is e-commerce companies like Amazon, Nykaa, etc, the merchandising department is given insights from the purchasing history of customers as to what products are in demand, what are customers talking about our products, what are the demand-supply. Based on such insights, the merchandising department will adjust and improve product choices and inventory speed.  

What’s the difference?

The significant difference between Machine Learning and Data Science is that the latter is while Machine Learning is more about developing sophisticated and complex models about making decisions, Data Science is about efficient management of data and developing insights and predictions on business scenarios.

Data Science is a subject that deals with data analysis, data management, and extraction of useful information from the raw data. On the other hand, Machine Learning involves Machine Learning Algorithms to build a model based on training data.

Even the skills needed to become a Data Scientist or Machine Learning expert may be somewhat of different flavours. Statistics, Data Mining, and Data Visualisation are skills required to become a Data Scientist. In contrast, skills like Statistical Modeling, Natural Language Processing, understanding, and applying correct algorithms are some of the skills needed to become an ML specialist. 

To conclude, both subjects are different from each other, and in this era of a digital revolution, both Machine Learning and Data Science jobs will grow in the future. So, if you are planning to take either of them as a professional career, you can begin your tech journey with Teksands.

Teksands offer courses like Machine Learning Online Training in India, Online Courses on Data Science in India, and Python Online Training in India. These courses are a part of Teksands’s high-impact series, and learners will get in-depth tech quality education. The teachers are also industry experts who will impart both theoretical and practical knowledge to the learners. 

The course content includes the basics of Python language, advanced algorithms techniques, and Exploratory Data Analysis. These courses provide 20 hours of intense content to the students and are valid for a year. Choose Teksands for your tech journey.