Machine Learning is a fine career choice today. Additionally, there are many job opportunities and a high-paying salary on it. ML has a great scope to make a change in the world of automation and in India, there are many trends to show that there is a lucrative career in it.
The need for Machine Learning
Many spheres need a thorough knowledge of domestic and international trends. In the past, there was a manual study and analysis of the trends requiring much time. Presently, the scope of Machine Learning is expanding, and there are a lot of mobile applications to give assistance within seconds. Moreover, Machine Learning can predict future possibilities.
Owing to the Machine Learning techniques, we can have Real-time information about the current details of all market trends. It also uses techniques to process the information and knowledge about the hidden trends in the data. The algorithms are effective and overall Machine Learning a sub-field of Artificial Intelligence helps to build automated systems which have the ability to learn by themselves. The system enhances performance after learning from experience and there is no need of human intervention. The machines make data-directed choices, based on experience and by using the available data. The Engineers create such ML algorithms that explore and experience new data for prediction. The organization can evolve and use effective business strategies based on the predictions of algorithms.
The emerging Scope of ML
There is a rapid expansion across all fields like banking and finance, IT, media & entertainment, gaming, as well as the automotive industry. It can revolutionize the world in the future.
Automotive Industry
The definition of safe driving is changing and there are companies like Google, Tesla, Nissan, Mercedes-Benz, that have made a huge investment to make novel innovations. The self-driving cars use Machine Learning, IoT sensors, voice recognition systems, and high-definition cameras.
Self-Driving Cars
After sitting in the car the user can enter the location and this will ensure a safe drive to the destination. It is possible because of the advancement of Machine Learning.
Robotics
Robotics is an interesting field and after the creation of AI-robot, Sophia, there are many inventions based on the use of ML and AI. The robots mimic the human brain, use neural networks, computer vision, and other technologies to perform the tasks similar to human beings.
Machine Learning will help to reach the next level of Quantum Computing. It uses the mechanical phenomena of quantum-like entanglement and superposition to create quantum systems that exhibit multiple states at the same time. In the entanglement, two different states can be referenced. The quantum systems are built by using advanced quantum algorithms to process data at a high speed. This enhances the processing power of ML models. Computer Vision
Today computers have evolved eyes that work and have achieved fantastic progress from 26% error ( 2011) to 3%( 2016). Furthermore, Machine Learning Gives the ability to a machine in recognizing and analyzing images, videos, graphics.
Present Salary Trends
There is a great scope of Machine Learning job opportunities in India, and throughout the world, in comparison to other careers. There will be 2.3 million jobs in AI and ML by 2022. The ML Engineers draw a high salary that is 865,257 as per Forbes.
The skills required to become an ML Engineer
Programming:
Programming is an important aspect. A professional can use R and Python languages.
Understanding of data structures:
There must be a good grasp of the concepts of data structure because these are the core of software.
Mathematics:
This is necessary for doing the computation. Knowledge of applying mathematical concepts is important and includes calculus, statistics, linear algebra, and probability.
Software engineering:
Machine Learning models must integrate with the software and the professionals must have deep knowledge of software engineering.
Data mining and visualization:
Machine Learning models are built on top of a variety of data, understanding the data is essential requiring experience in data visualization/ mining.
Machine Learning algorithms:
It is important for the professional to be well experienced in implementing ML algorithms.
Conclusion
ML today is emerging as an important artificial intelligence technology and it is adopted in a big way in many spheres. In 2018, there was creation of ~0.18 Million to ~0.2 Million new jobs, for the people having skills and expertise in it. Additionally, at the global level the ML market is expected to reach a great value. This growth will happen owing to technological advancements, and proliferation in data generation.
India is all set to adopt AI applications and the market will grow at a good rate. When the ML is implemented there is a reduction in the chances of human error. As machines become smarter, there is less reliance on operators and enhancement of accuracy and efficiency. There is a bright future and this is the best time to learn this important function.
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