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Introduction to Information Retrieval is the first textbook with a coherent treatment
of classical and web information retrieval, including web search and
the related areas of text classification and text clustering. Written from a
computer sci
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Alpaydin E. Introduction to machine learning (MIT Press, 2010)
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introduction to machine learning
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matlab语句实现图模型，多用于分析网络用户产品推荐及网络用户潜在社会关系分析模型的建立。-The goal of building systems that can adapt to their environments and learn from
their experience has attracted researchers from many fields , including computer
science, engineering, mathematics, ph
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This files gives you a very clear introduction to machine learning. This is made by myself.
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Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve
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《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外，每章介绍一种方法。叙述从具体问题或实例入手，由浅入深，阐明思路，给出必要的数学推导，便于读者掌握统计学习方法的实质，学会运用。为满足读者进一步学习的需要，书中还介绍了一些相关研究，给出了少量习题，列出了主要参考文
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机器学习入门，斯坦福大学吴恩达教授机器学习视频第一课讲义，全英文。(Introduction to machine learning, Professor Wu Enda, Stanford University, machine learning video lesson 1 lecture notes, all english.)
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deep learning 书籍，此书包括机器学习基础，深度前馈网络，卷积网络，蒙特卡洛方法等的详细介绍(Deep learning books, which include a detailed introduction to machine learning, deep feedforward networks, convolution networks, Monte Carlo methods, and so on)
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华泰证券人工智能系列研报 1-36 ，金融工程机器学习入门(Huatai Securities artificial intelligence series 1-36, introduction to financial engineering machine learning)
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