Artificial intelligence has been around for quite some time now and it has helped shape the foundation of the digital world. There have been various subsets of artificial intelligence such as machine learning that provides the systems the ability to automatically learn and improve from experience. What happens is that the systems intended for machine learning are given access to a cluster of complex data, it starts with making sense of the data, categorizing it, and then extracting insight out of it. Normally it would require a far-fetched number of people to do that and years on end as the ETA but machine learning can make it happen almost instantly in a matter of days or even weeks.
No extra coding or programming is required here as machine learning automatically extracts the meaning out of the data and what does it speak of. It can access the data itself and start the process of learning automatically. No wonder why it is being incorporated in digital enterprises and businesses around the world for making sales predictions, implementing certain changes based on the insight collected from consumer data, and so on.
Explore all the in-demand data science courses and certification exam preps at DataScienceAcademy.io
The market for machine learning is exploding at a faster pace and there is no way that it is going to get cut short any time sooner. So, the most plausible thing would be to start right out with this thing and take it to an ultimate level as a career. But many professionals find it difficult to become successful in machine learning and before you know it they are already retreating towards previous IT-based roles they were undertaking as a full-time job. If you find yourself in the same position and want to become successful as a professional in machine learning then you have come to the right place. Following is a brief set of artifacts that can help you become successful and create a positive career in machine learning;
- Understand what machine learning is
To begin with, a particular subset of artificial intelligence say machine learning it is first imperative to learn what it is and how it can help you build an influential career around you. You must make yourself understand the basics of machine learning, what it is, the math and programming behind it, alternative technologies that it can bring forward or spread light to and finally having some experience with it. It is the key to understand machine learning as a career and having some hands-on experience with it as well.
- It pays off to be curious
Machine learning as described earlier is a subset of artificial intelligence which itself is not that old concept. These are the technologies that belong to the future and are only going to evolve with it or when the time is right. Therefore, having the love of learning and some curiosity will definitely pay you off in the long run and would develop a keen sense of understanding that goes with it.
Machine learning has grown a consistent demand that seems to be rising higher than ever as new languages, frameworks, and programming systems continue to get introduced. It makes people eager to learn more and more about what machine learning is and how they can make it work for them. If you really want to have it around as a career for yourself then it is important that you start investigating more and more about what machine learning is over the online forums, what the different technologies that are worth mentioning are, and how you can make the best of it for yourself.
There are various different learning platforms out there such as Coursera, EdX, and various others as well.
With DataScienceAcademy.io, you can start a 7-day FREE TRIAL and begin your learning journey right away!
- Translate business problems into mathematical terms
Machine learning is a field that is specifically designed for logical minds. It can integrate the math and business problems into one simple equation backed up by a continuous stream of data for analysis. It is essential to refer to a business problem into a common mathematical term and then integrate that term into the machine learning build for the sake of solving it. This is what brings the end value to the business and the problems that it carries.
- Data analysis; the backbone of machine learning
If it is one thing that is true about machine learning it is that data analysis backs it up. It is the perfect career or way of articulating data for the sake of extracting insight from the data and people who have a background in data analysis can ultimately and conveniently transition into machine learning. Because when you have analysis based knowledge of data only then you can be able to predict the out comings from a single cluster of data, consequences, and disciplines that apply to the data, understanding what will work and what will not which is the ultimate key to machine learning.
Having a background in data analysis would also help advance your career tremendously, just think about dealing with the business problems through the context of machine learning and then being able to produce some value out of it.
Read more: When Machine Learning Met Data Science
- Learn Python
As far as the programming languages are concerned many professionals would advise you to learn Python as it is the best possible language for that purpose. Python has a simple context, and the language is quite easy to learn so if you are new to machine learning you can easily bring it on with the help of learning Python.
- Gain knowledge of the industry you want to work in
Machine learning is just like any other data-driven job so the industry that uses it and nourishes the bright minds of young data scientists for the future might have different uses for machine learning. But at the end of the day, it all comes to the industry you are going to serve in. Learn about various sections or departments where machine learning is going to be used and then you can have your whole career built around serving that specific section or part of the industry.
Do you want to be the best of the best in case of serving your digital career? If so then you need to acquire your data science certification and explore the true potential of the expertise that you carve out of it.
Connect with our experts and get in-depth guidance on which data science courses and certifications will be most appropriate for your career elevation.