Artificial intelligence (AI), machine learning (ML), or data science are the hottest topics today.
While all these terms have different meanings and applications, from the ongoing Tokyo Olympics, current AI, ML, and data scientists job openings in the tech companies to the prospective benefits of their applications in the different industries is growing at a high rate. They are actually the most trending topics today.
According to Linkedin’s 2019 “Emerging Jobs” report, there is up to 74% boost in the AI engineers and data scientists jobs, and companies are offering above US$100k salary.
Taking into account the growing demands of AI, ML, and data scientists, a lot of universities now provide degrees as well as diploma courses in these domains.
But the question is which one you should take up? Is it AI, ML, or data science? Is there any difference?
In this article, first, we will understand the thin line of boundaries among these three terms, and then whether you should opt for artificial intelligence, machine learning, or data science. This way, you will be able to choose the best one for you.
Difference between artificial intelligence, machine learning, and data science
Artificial intelligence?
Artificial intelligence, which is abbreviated as AI, means replicating human minds’ capabilities.
It relates to machines that can replicate the cognitive capabilities related to the human mind.
It is a technology that allows a machine to simulate human behavior. Its main goal is to make a smart computer system like humans to solve complex problems.
Let me tell you that using artificial intelligence technology, we can create intelligent systems so they can perform any task similar to a human being or human brain.
Machine Learning
Being a subset of AI, machine learning, on the other hand, enables a machine to automatically learn from past data without programming explicitly.
But unlike AI’s goal (learning from a human’s mind), its goal is to allow machines to learn from data so they can provide accurate results and help in making informed decisions.
So, ML is essentially used by data scientists when it comes to examining and interpreting data.
Data Science
When talking about data science, it means accumulating methods, tools, and practices to analyze data so that insight can be interpreted and driven to support decision-making.
This way, it can be said that both artificial intelligence and data science make use of machine learning as a major tool. In artificial intelligence, machine learning tools are leveraged in real-time to enable machines to carry out their activities.
Machine learning works as a very important tool when it comes to developing intelligent agents.
On the other hand, machine learning in data science doubles as a data analysis tool and helps in unlocking patterns in data as well as making predictions.
What should you learn?
If you have understood how different these three fields are, you need not ponder your goals, and based on your understanding, you get to decide which will best suit you.
Are you looking forward to going for research work? Go with the field of data science, then!
Do you want to become an engineer and look to create intelligence into software products? Then choose the path of machine learning or more preferably AI!
In case you are still unsure which career to choose, you can go with data science.
The reason being, data is everything, and it is one of the most important keys to success in all domains whether it is artificial intelligence or machine learning.
Strong knowledge and proficiency in processing, cleaning, analyzing, and visualizing data, in addition to statistical knowledge, is surely going to benefit you irrespective of what career you finally choose to go with.
But if you are at the very starting point of your career, better to increase your domain knowledge before investing your time in learning about AI, ML, or data science.
If you have adequate knowledge about any of the above-discussed domains – AI, ML, or data science, you are sure to understand the issue you are looking to interpret and also identify how artificial intelligence or ML or data science can help solve it.
After reading the article about AI, ML or Data Science | Which Is Best For Your Career?, we hope that you would like to know more on how artificial intelligence (AI), machine learning (ML) and data science can add zing to your career.
If you have any questions about how the use of artificial intelligence and machine learning can help enhance your career, feel free to ask us anytime, we would be more than happy to answer them in the comment section below.
