京东 11.11 红包
读花书：3.8 Expectation, Variance, Covariance (standard deviation, correlation,etc)
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(中文) 掰开揉碎：initialization, covariance shift, batch normalization
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读花书：3.9 common probability distribution
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Batch_Normalization: Toward Reducing Internal Covariance Shift
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读花书：2.9 Moore-Penrose Pseudoinverse
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读花书：2.12 Example: Principal Components Analysis
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读花书：3.4 marginal probability
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读花书：2.6 special matrices and vectors
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读花书：3.3 probability distribution
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读花书：3.5 conditional probability
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读花书：3.2 Random Variables
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图解机器学习的数学直觉：线性代数，微积分，PCA（全完结）
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读花书：2.7 eigendecompositions
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读花书：3.1 Why Probability?
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哈佛通识概率普及课（特别推荐）Fat Chance: Probability from the Ground Up by Harvard and Edx
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Santa Fe Institute 复杂系统公开课Complexity: An introduction
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读花书：2.8 singular value decomposition
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尝试用ABM再造一些经济学的基本概念
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ResNet: abstract and introduction
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reviews汇总：FaceNet (合集，未完结）
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人人必备的数学思维Mathematical thinking by Stanford University and Coursera
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Hero-Coward建模 with NetLogo
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Modeling UK housing market in NetLogo
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读Ian Goodfellow 深度学习教科书：图解版
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蚂群行为建模全流程解读 Agent-based modeling on Ant (version 1 完结）
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读花书：2.11 The Determinant
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Batch_Normalization: Introduction
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读花书：2.10 The Trace Operator
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阿姆斯特丹大学统计课基础版Basic Statistics by University of Amsterdam and Coursera
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如何简单理解Naive Bayes
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论文分解器：FaceNet (合集，论文首次解读完结）
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复杂系统基础之信息论
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概率机器学习基础：MIT概率课图解笔记
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Economics of Money and Banking (coursera)
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chainer.variable.Variable.unchain_backward
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吴恩达第五课RNN笔记
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Batch_Normalization: Abstract
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Simple Economy Model in NetLogo (version 1 完结）
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如何理解CrossEntropyLoss?
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Geoffrey Hinton -论深度学习原理
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吴恩达机器学习图解笔记