Machine learning vs data analytics is one of the most talked-about topics among data science aspirants. Both of these fields focus on data and are among the most in-demand sectors. Thus, while choosing a data science career, it is quite natural to feel confused about these two trending domains.
But worry not, for we’ve created the perfect guide to help you understand the difference between machine learning and data analytics.
Now, let’s get straight to the topic at hand – machine learning vs data analytics.
Machine Learning vs Data Analytics: Definition
To understand the difference between machine learning and data analytics, we must first look at their definitions. They will help you understand what makes these fields unique and different from each other.
What is Machine Learning?
Machine learning refers to the study of algorithms that improve through experience. It is related to artificial intelligence. A machine learning algorithm learns from data automatically and applies the learning without requiring human intervention.
Machine learning has multiple branches and there are various methods to use them. Conventional machine learning solutions use predictive analysis and statistical analysis for finding patterns and catching hidden insights into the available data.
One of the best examples of machine learning at work is Netflix’s recommender system, which suggests movies and shows automatically based on collaborative and content-based filtering.
What is Data Analytics?
Data analytics, also known as data analysis, is the process of cleaning, inspecting, modelling, and transforming data for finding valuable information, informing conclusions and enhancing the decision-making process.
Data analytics focuses on generating valuable insights from the available data. Companies use data analytics to make better-informed decisions regarding various matters including marketing, production, etc. Data analytics helps you take raw data and extract helpful information from the same.
As you can see, a key difference between machine learning and data analytics is in how they use data. Data analytics focuses on using data to generate insights while machine learning focuses on creating and training algorithms through data so they can function independently.
Machine Learning vs Data Analytics: Salary
In terms of pay, there’s a notable difference between machine learning and data analytics.
Machine Learning Salary in India
The average pay for a machine learning professional in India is INR 6.86 lakh per annum including shared profits and bonuses. Freshers in this field make around INR 3 lakh per annum on average. However, an experienced machine learning professional can get up to INR 20 lakh per year on average. It’s certainly one of the most lucrative sectors out there.
Machine learning professionals in Bangalore and Chennai earn considerably more than the national average while the machine learning professional in Delhi and Pune earn 25% and 10% less than the average.
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