Best Machine Journals

 Best machine journal is known for research on computational approaches to learning. The journal publishes articles reporting significant results on a broad range of learning methods applied to a vast of studying problems. The best machine journal features papers that explain research on applications, problems and methods, and issues of research techniques. Papers making insists about learning methods or problems provide solid support through theoretical analysis, empirical studies, or comparison to psychological phenomena. All papers report the supporting affirmation in ways that can be replicated or verified by other researchers. The papers also establish the learning component clearly and communicate performance task and assumptions regarding knowledge representation. To be more accurate, Best Machine Journal seeks to publish papers which ask and finds the answer for important and interesting questions in strategic management, to develop and test theory, explore interesting phenomena, replicate prior studies, review and synthesize existing research, and evaluate use in our field.  

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