Machine learning journals publish high-quality research articles in a wide range of core and interdisciplinary research fields in machine learning. these journals create a significant impact of these fields in many scientific disciplines.
These journals publish peer reviewed articles that deal with the theoretical analysis, design and applications of machine learning and deep neural network models. the machine learning models include supervised, unsupervised, semi-supervised, ensemble and reinforcement.
The topics coverage in deep learning models are deep recurrent neural networks, deep belief networks, graph neural networks, deep boltzmann machine, deep autoencoder, generative neural networks,- deep ensemble learning, deep reinforcement learning, convolutional neural networks, transfer learning, extreme learning machines, deep generative models, dynamic neural networks, radial basis function networks, self-organizing maps, meta learning, multimodal deep learning, quantum machine learning, one-shot learning, interpretable machine learning, imitation learning, federated learning, active learning, representation learning, deep cascade learning, graph representation learning, distributed active learning, word embedding models, neural machine translation, attention mechanisms, domain adaptation, data augmentation, neural architecture search, hyperparameter optimization and performance tuning.
The fast pace of developments in machine learning enables many countless opportunities where it can augment the capabilities and knowledge of computing in fields such as applications of natural language processing, data stream processing applications, online recommendation systems, sentiment analysis and opinion mining, time series data analysis, medical machine learning applications include disease detection and prediction, medical image processing applications, machine learning applications of multimedia, stock market analysis and prediction, cyber security applications, pattern recognition, speech recognition, computer vision, malware detection system, intrusion detection system, intelligent wireless networks, big data analytics, intelligent transportation systems, autonomous vehicles, and edge intelligence.