Future Scope of Machine Learning
With this pace, we are moving towards creating a fully functional sub-human machine or human-like machine which means they will hold the capability of acquiring knowledge and to take impactful decisions. Below are some of the significant key highlights that will reflect how is it going to make our lives easier:
- Ease of Human Functionality
- Extensive use of Robotics
- Automation in Industries – such as Automobile
- New possibilities in technology, production, development, etc.
- Prevention from cyber attacks
- Advanced transformation in Quantum Computing, and so on
Best IDEs For Machine Learning
Over the years, Machine Learning has made a significant impact in the market. As per a recent report, currently, the market is standing at USD 21 Billion (2022) and is expected to cross USD 200 Billion by the end of 2029 at a CAGR of 38% and above. This graph has marked the influential leap during the COVID-19 pandemic and the demand rose by multiple folds (specifically for ML & AI) and the market is not showing any sign of slowing down.
Since the demand for Machine Learning and its professionals is increasing every day, it becomes crucial for you to understand that it’s not as easy as it seems. Being one of the most fascinating technology jobs, the key to getting sustainable growth in this field is to keep yourself updated with the latest tools and techniques to get ahead in this field.
Before we jump into the mainframe, let’s start with the basics of Machine Learning along with its scope in the future: