1. 毕业设计（论文）的内容和要求
机器学习是一类算法的总称，这些算法企图从大量历史数据中挖掘出其中隐含的规律，并用于预测或者分类，更具体的说，机器学习可以看作是寻找一个函数，输入是样本数据，输出是期望的结果，只是这个函数过于复杂，以至于不太方便形式化表达。
需要注意的是，机器学习的目标是使学到的函数很好地适用于新样本，而不仅仅是在训练样本上表现很好。
学到的函数适用于新样本的能力，称为泛化（Generalization）能力。
2. 参考文献
[1] 柴茗珂;范举;杜小勇.学习式数据库系统：挑战与机遇.软件学报 [2] 徐琳宏;丁堃;林原;杨阳.基于机器学习算法的引文情感自动识别系统以自然语言处理为例.现代情报,2020-01-01[3]王正. 基于机器学习的新能源汽车电池剩余寿命预测 2020- 12-24.[4] 张明军；俞文静；李伟滨；朱晓丹. 一种基于机器学习的车牌识别系统的设计. 2020,12-18.[5]徐玉芳；苏斌. Python语言特点及其在机器学习中的应用.计算机产品与流通,2020-12-15.[6] 田彬. 分布式计算框架下的大数据机器学习. 电子技术与软件工程, 2020-10-28, 15(5): 598-610. [7] Alexander Smith; Andrea Keane; James A. Dumesic; George W. Huber; Victor M. Zavala. A machine learning framework for the analysis and prediction of catalytic activity from experimental data. Department of Chemical and Biological Engineering; University of Wisconsin-Madison; 1415 Engineering Dr; Madison[8] Jon D. Elhai; Haibo Yang; Dmitri Rozgonjuk; Christian Montag;. Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out.University of Electronic Science and Technology of China, Chengdu, China; [9] Yaguo Lei; Bin Yang; Xinwei Jiang; Feng Jia; Naipeng Li; Asoke K. Nandi;. Applications of machine learning to machine fault diagnosis: A review and roadmap. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge UB8 3PH, United Kingdom;. [10] Schmidhuber J. Deep learning in neural networks: An overview[J]. Neural networks, 2015, 61: 85-117. [11] Luguang Wang; Fei Long; Wei Liao; Hong Liu;.: Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms. Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, USA;Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing [12] Ramos-Lima Luis Francisco; Waikamp Vitoria; Antonelli-Salgado Thyago; Passos Ives Cavalcante; Freitas Lucia Helena Machado;The use of machine learning techniques in trauma-related disorders: a systematic review.Laboratory of Molecular Psychiatry, Clinical Hospital of Porto Alegre, Porto Alegre, Brazil.;[13] Maiti Shyantani; Hassan Atif; Mitra Pralay;.: Boosting phosphorylation site prediction with sequence feature-based machine learning. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, West Bengal, India.;[14] Imai Shungo; Takekuma Yoh; Miyai Takayuki; Sugawara Mitsuru;.: A New Algorithm Optimized for Initial Dose Settings of Vancomycin Using Machine Learning.Faculty of Pharmaceutical Sciences, Hokkaido University.; Department of Pharmacy, Hokkaido University Hospital.; Graduate School of Life Science, Hokkaido University.;[15]叶梓.人工智能视域下机器学习应用与创新探索.信息与电脑[16] 韦灵；黎伟强. 基于机器学习的中文文本自动分类的实践研究.智库时代.2020-11-28[17] 胡强;屈蔷;何鑫. 一种改进的多特征融合人行道检测算法.应用科技.2020-11-15[18] 王志刚；袁宏俊.基于机器学习方法的区间组合预测模型优化.齐齐哈尔大学学报.2020-11-11.[19] Yue Li; Yijie Zeng; Tianchi Liu; Xiaofan Jia; Guang-Bin Huang; Simultaneously learning affinity matrix and data representations for machine fault diagnosis; School of Electrical and Electronic Engineering; Nanyang Technological University; Singapore 639798;[20] Linfei Yin; Qi Gao; Lulin Zhao; Bin Zhang; Tao Wang; Shengyuan Li; Hui Liu;.: A review of machine learning for new generation smart dispatch in power systems; College of Electrical Engineering; GuangxiUniversity; Nanning; 530004; China;
以上是毕业论文任务书，课题毕业论文、开题报告、外文翻译、程序设计、图纸设计等资料可联系客服协助查找。
