Machine Learning is an emerging era in the field of Electronics and Communication Engineering. In the era of 80s and 90s, many applications of data driven Artificial Intelligence technique had been introduced in the field of speech, image, voice recognition, image analysis, communication and other relevant fields. Engineering Applications of Machine Learning.

Engineering Applications of Machine Learning

The above tools were relied on old algorithms like Expectation Maximization algorithm and Q learning etc. These were not sufficient powerful tools to compete advancement in the field recent trends. Therefore, it needs to develop new algorithm-based learning thing which provide a taxonomy of ML methods and their uses in the field of electronics and communication Engineering.

Top Btech College in Greater Noida

Now everyone knows about this new tool that is Machine learning. It provides machine learning methodology as an alternative to find out conventional engineering approach to provide an algorithm-based solution. For this type of approach, we need to design basic algorithm with the acquisition of domain knowledge.

There are many resources which provides additional information about Machine Learning:

 

·       Machine-Learning Framework Resources

It is main machine learning framework resources that provide detail information about the sources their algorithm. It also provides framework to learn algorithm and mathematical model for the required design.

Machine-Learning Data Resources

This type of data resources is used to talked about how machine learning and Neural Network work to gather to train a network to perform specified task or applications. These types of algorithms need more inputs to their corresponding outcomes. For example; images, videos, recordings and other applications. These applications are very useful to interact with real world for society.

·       Machine-Learning with Hardware and Software

Best Btech College in North India

 

Most of the machine-learning algorithms based on hardware and software. Because algorithms can not be run without software and hardware. Specially without microprocessor or micro-controller we cannot connect with cloud-based clusters.

Therefore, Machine-learning is very useful tool in the Electronics and Communication Engineering. It has having many applications in interdisciplinary field also. That’s It In Engineering Applications of Machine Learning. If You Like The Content Kindly Share It With Others.