Machine and Deep Learning (ML/DL) Algorithms, Frameworks, and Libraries

Abstract

Each primary, secondary, tertiary, quaternary, and the quinary sector has huge or very huge incremental data from large-scale, small-scale industries, medium industries, or cottage industries. The data associated with each of them are very crucial from every point of view. The complex problems are increasing day by day in real-time execution which can be addressed using current trends of technology like machine learning and deep learning. Machine learning is a subset of artificial intelligence. ML is functioning for image & speech recognition, mail filtering, Facebook tagging mechanism, and many others. Deep learning is an advanced technology that is a subset of machine learning with the capacity to learn more intelligently on a large set of data. Deep learning works with multiple hidden layers to produce the predicted outcomes. Deep learning algorithms include convolutional neural networks, recurrent neural networks, long short-term memory networks, stacked auto-encoders, deep boltzmann machines &, etc.