Machine learning is a subfield of artificial intelligence (AI) and computer science. Some of the most remarkable inventions, like self-driving cars and Netflix’s recommendation search engine, have been made possible in recent years because of machine learning technical advancements in storage and processing capability.
The rapidly expanding discipline of data science includes machine learning as a key element. Even while you can work in artificial intelligence and data science with just a bachelor’s degree, graduating with a Master of Computer Application will assist you in grasping the more difficult jobs that machine learning engineers must perform.
What is Machine Learning?
In order to gradually improve the system’s accuracy, machine learning relies on using data and algorithms to replicate how humans learn. Machine Learning professionals train algorithms using statistical techniques to develop classifications and predictions and to discover crucial insights in data mining projects. These insights lead to data-driven decisions that influence key growth indicators in business organisations.
A Master of Computer Application degree with a specialisation in Machine Learning covers topics or fundamental ideas, including algorithms, data structures, Object Oriented Programming (OOPs) concepts using Java and Python, databases, software engineering, and design processes.
Skills Required to Become a Machine Learning Engineer
Postgraduate learning choices can prove to be a great option for improving the below competencies given the dearth of competent people proficient in machine learning and the specialised demands of contemporary companies. Listed below are the required skills to become a Machine Learning professional:
- Knowledge of Fundamentals of Computer
- Programming Skills such as R/Python/Java/C++
- Efficiency in Statistics and Applied Mathematics
- Efficiency in Probability Concepts
- Machine Learning Algorithms
- Knowledge of Data Modeling
- Understanding of the Neural Network Architectures
Apart from an in-depth understanding of machine learning, MCA students will gain knowledge about the pertinent real-world issues in a wide range of application fields, such as robotics, computer vision, natural language processing, etc. The course also covers concepts such as machine learning pipelines, data models, and algorithms.
Machine Learning Future Scope in India: Top Applications
In addition to providing excellent growth prospects, machine learning is profoundly changing established sectors. The field of machine learning is still in its infancy. There are many improvements that may be made in this area. Given below are the top areas/industries which reflect the increased Machine Learning scope in the future.
- Robotics
Robots are being trained and their precision is being increased using precise machine learning techniques. They can now replicate human motions and carry out tasks with great accuracy thanks to advancements in AI and ML. The first robot news anchor, named “Erica,” was built in Japan. “Sophia” was developed in Dubai and is the first robot to possess Saudi Arabian citizenship.
- Healthcare
Machine Learning programmers are highly useful in creating individualised treatment plans by analysing patient history, records and reports. Although the healthcare sector has long used machine learning for various objectives, we think that machine learning will be used in more complicated use cases in the future.
These applications include but are not limited to (a) robots precisely carrying out difficult procedures, (b) analysing drug testing time and impact to speed up drug discovery, (c) data collection of electronic health records d. advancement in medical imaging diagnosis, and so on.
- Automotive
Machine learning has long been successful in many different industries, but its application in the automotive industry is a vastly different ball game. One of the most significant uses of machine learning in the automotive industry is to increase safety.
It is possible to create sophisticated driver assistance systems that can aid in accident avoidance using machine learning. By examining data from sensors and cameras, these systems can spot possible risks and alert drivers to any threat.
- Quantum Computing
More difficult issues, such as source optimization, are emerging as the human population and consumption grow exponentially. The most recent worldwide disaster brought on by COVID-19 demonstrates the necessity for a new method for modelling and deactivating a single protein. Protein modelling is one of the complex issues that quantum computing can help with.
Quantum computers will be used to solve issues like, for example, analysing and forecasting traffic patterns in intricate metropolitan settings or even processing the enormous volumes of data required for machine learning.
- Computer Vision
Computer vision has advanced in terms of tracking and recognition, thanks again to machine learning. For example, the face swap filter detects and (nearly) properly swaps facial features using techniques based on image recognition and computer vision.
As per the future scope of Machine Learning, ML and Al programmes will provide even more advanced and efficient techniques for object focus, image processing, and acquisition that are used in computer vision.
Jobs & Salary Trends: Machine Learning Future Scope
Since machine learning is a rapidly expanding area of study and research, there is a rising need for machine learning specialists. And as more individuals develop an interest in understanding computer algorithms and how they operate, this need will only grow in the future.
Numerous well-paying occupations are available in this area in India. An MCA course will help you when you seek jobs, particularly if you have supplemented your education with numerous internships or apprenticeships.
Below is the list of various job profiles in the Machine Learning domain and the average annual salary:
| Job Profiles | Average Salary |
| Data Analyst | ₹2 lakhs to ₹9.5 lakhs per annum |
| Data Scientist | ₹3.43 lakhs to ₹20 lakhs per annum |
| Software Engineer | ₹2.60 lakhs to ₹10 lakhs per annum |
| Senior Software Engineer | ₹4.90 lakhs to ₹20 lakhs per annum |
| Lead Software Engineer | ₹7.75 lakhs ₹30 lakhs per annum |
| Software Developer | ₹2.12 lakhs to ₹10 lakhs per annum |
| Senior Business Analyst | ₹4.49 lakhs to ₹20 lakhs per annum |
| Data Engineer | ₹3.62 lakhs to ₹20 lakhs per annum |
Source: Payscale
Conclusion
One of the most promising fields in the twenty-first century is Machine Learning. It is also one of humanity’s greatest partners that enables business firms to make improved decisions, helps developers in resolving complex issues creatively, and offers valuable insights at greater speeds and accuracy.
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