Softmax
摘要：http://ufldl.stanford.edu/tutorial/supervised/SoftmaxRegression/ http://ufldl.stanford.edu/tutorial/supervised/ExerciseSupervisedNeuralNetwork/ http:/
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posted @ 2017-08-29 23:15
随笔分类 - AI
推荐系统
摘要：TensorFlow Wide And Deep 模型详解与应用 http://geek.csdn.net/news/detail/235465 TensorFlow Wide And Deep 模型详解与应用（二） https://arxiv.org/pdf/1606.07792.pdf http
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posted @ 2017-08-29 10:01
Math
摘要：线性变换的矩阵为什么要强调在这组基下? https://www.zhihu.com/question/22218306 https://www.math.hmc.edu/calculus/tutorials/changebasis/ https://www.mathsisfun.com/algebr
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posted @ 2017-08-25 11:09
CNN(卷积神经网络)、RNN(循环神经网络)、DNN，LSTM
摘要：http://cs231n.github.io/neural-networks-1 https://arxiv.org/pdf/1603.07285.pdf https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-
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posted @ 2017-08-21 20:04
机器学习好文章
摘要：https://www.analyticsvidhya.com/blog/2017/03/introduction-to-gradient-descent-algorithm-along-its-variants/ https://mapr.com/blog/apache-spark-machine
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posted @ 2017-08-13 21:10
线性,逻辑回归
摘要：之前我们已经大概学习了用线性回归（Linear Regression）来解决一些预测问题，详见： 1.《机器学习笔记01：线性回归(Linear Regression)和梯度下降(Gradient Decent)》 2.《机器学习笔记02：多元线性回归、梯度下降和Normal equation》 3
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posted @ 2017-08-10 19:43
机器学习模型选择
摘要：https://bigdata-ny.github.io/2016/09/20/visual-tools-for-machine-learning-part-2/ http://scikit-learn.org/stable/tutorial/machine_learning_map/ https:
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posted @ 2017-06-15 13:52
10 种机器学习算法的要点
摘要：http://blog.jobbole.com/92021/
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posted @ 2017-04-12 09:57
机器学习常见算法分类汇总
摘要：http://www.cnblogs.com/younghao/p/6696739.html http://blog.sae.sina.com.cn/archives/5547 http://diyhpl.us/~nmz787/pdf/Human-level_control_through_deep
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posted @ 2017-04-12 09:55
artificial%20intelligence%20a%20modern%20approach
摘要：http://stpk.cs.rtu.lv/sites/all/files/stpk/materiali/mi/artificial%20intelligence%20a%20modern%20approach.pdf
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posted @ 2017-04-11 18:58
Machine Learning Library (MLlib) Guide, BOOKS
摘要：download.microsoft.com/download/0/9/6/096170E9-23A2.../9780735698178.pdf Microsoft Azure Essentials Azure Machine Learning http://spark.apache.org/doc
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posted @ 2017-04-06 17:36
scikit
摘要：http://scikit-learn.org/dev/_downloads/scikit-learn-docs.pdf http://scikit-learn.org/stable/tutorial/ http://scikit-learn.org/stable/tutorial/basic/tu
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posted @ 2017-04-06 15:08
Artificial-Intelligence BOOKs与算法
摘要：http://mindhacks.cn/2008/09/11/machine-learning-and-ai-resources/ https://www.amazon.com/Information-Theory-Inference-Learning-Algorithms/dp/052164298
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posted @ 2016-11-13 19:17
