In this article, I will take you through an answer to the most asked commerce students that how to learn Machine Learning after commerce.
Learning data science and machine learning was used to be a career option a decade ago but with the advancement of technologies and due to the use of data in the decision-making process of a business machine learning is a skill that you must know.
Why Machine Learning?
The use of data to drive positive business results is widely debated and many companies have recognized the potential of artificial intelligence and machine learning in particular to implement powerful data-driven solutions.
In practice, companies can benefit from a wide range of machine learning applications, but it is not always clear which solutions are the most feasible and efficient to achieve the desired results. The best techniques available to solve a problem vary depending on the goals, resources, and data of each business.
For example, a company wants to set retail prices, without using machine learning, the prices of unique products in an entire catalogue are determined manually in an extremely long process. Therefore, pricing may be neither cost-effective nor consistent.
With the use of machine learning in this situation, more than half of the products in the catalogue can be automatically priced. Using machine learning, prices can be easily determined based on product images, visually similar product prices, product descriptions, and other attributes.
How to Learn Machine Learning after Commerce?
If you are commerce then you must be knowing that in commerce we learn about how to do business, how to manage accounts, how to prepare balance sheets, profit and loss accounts. There is a lot more than this in commerce but as an overview, these are the main activities that we do while studying commerce.
So how do I know so much about commerce? Because I was also a commerce student, I am graduated from commerce and came into machine learning after my second year. The reason that I left it is that I realised the making of the data-driven economy.
Now data is being more used in a business as compared to the experience of a manager. So with the change in business and market conditions, I decided to change my profession.
Steps to Learn Machine Learning After Commerce:
To learn machine learning a student with a programming background is supposed to start with a programming language which is meant for Machine Learning. So to start with Machine Learning you need to start with either Python or R (most preferably Python).
After learning Python you need to start learning how to use it with data and how to make the best with data by using Python. So, in a nutshell, you need to go through the steps below to learn machine learning:
You need to start with Python, then you need to complete a machine learning course from anywhere you like. Then the last step is the most important step which is to work on projects where you need to work on real-time projects.
I hope you liked this article on how can a commerce student learn machine learning. Feel free to ask your valuable questions in the comments section below.
