Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to:
Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Scientific discovery; Information retrieval; Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds.
Learning Methods: Supervised and unsupervised learning methods (including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models, inductive logic programming, case-based methods, ensemble methods, clustering, etc.); Reinforcement learning; Evolution-based methods; Explanation-based learning; Analogical learning methods; Automated knowledge acquisition; Learning from instruction; Visualization of patterns in data; Learning in integrated architectures; Multistrategy learning; Multi-agent learning.
《Machine Learning》是一本由SPRINGER出版商出版的專業工程技術期刊，該刊創刊于1986年，刊期Monthly，該刊已被國際權威數據庫SCIE、SCI收錄。在中科院最新升級版分區表中，該刊分區信息為大類學科：工程技術 3區，小類學科：計算機：人工智能 4區；在JCR（Journal Citation Reports）分區等級為Q2。該刊發文范圍涵蓋計算機：人工智能等領域，旨在及時、準確、全面地報道國內外計算機：人工智能工作者在該領域取得的最新研究成果、工作進展及學術動態、技術革新等，促進學術交流，鼓勵學術創新。2021年影響因子為5.414，平均審稿速度較慢,6-12周。
| 大類學科 | 分區 | 小類學科 | 分區 | Top期刊 | 綜述期刊 |
| 計算機科學 | 3區 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機：人工智能 | 3區 | 否 | 否 |
| JCR分區等級 | JCR所屬學科 | 分區 | 影響因子 |
| Q2 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q2 | 5.414 |
| 影響因子 | h-index | Gold OA文章占比 | 研究類文章占比 | OA開放訪問 | 平均審稿速度 |
| 5.414 | 135 | 37.50% | 99.37% | 未開放 | 較慢,6-12周 |
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