AI to Machine Learning: Lifeless Automation and Issues

Abstract

Machine learning makes the computer able to perform without explicit programming. So, machine learning is now applied to each and every field of our daily life. The broad range of applications of machine learning are disease detection, weather forecasting, gaming, political discussion, business analytics, acoustics, agriculture, energy forecasting, genomics, etc. The advances in artificial intelligence and machine learning is a combination of tools and techniques used together to solve cognitive problems. The concepts have been effectively executed through BERT and the GPT-2 architectures. Convolutional neural network which implements depthwise separable convolution and other neural networks are also used based on the requirement of the application. Machine learning strategies used for prediction and prognosis of the COVID-19 are partial derivative regression and nonlinear machine learning. Adaptive neural fuzzy inference system is used for wind power detection in power systems. Hence, it gives richer proposals and bits of knowledge for the ensuing decisions based on past information and activities with the extreme scope of production enhancement.