京东 11.11 红包
Quant Macro w/ Machine Learning 5: Projection Methods
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Quant Macro w/ Machine Learning 3: Numerical Solution of Dynamic Models
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Quant Macro w/ Machine Learning 2: Computation Basics
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Quant Macro w/ Machine Learning 9: Krusell-Smith Model
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Quant Macro w/ Machine Learning 1: Intro
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Quant Macro w/ Machine Learning 11: Machine Learning for Dynamic Models
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Lec 6: macro overview
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lec11-1: machine learning and FOC
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Lec 2: production possibility frontier
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Lec 1: principles in micro
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Lec 10: labor market
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Lec 11: inflation
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Lec 18: fiscal policy
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Lec 21: monetary policy
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Quant Macro w/ Machine Learning 10: Machine Learning Basics
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Lec 8: price level
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Introduction 1-1
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Lec 20: money
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Lec_8_1: Krusell-Smith model via Machine Learning
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Lec_7_1: Review of Machine learning
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Lec 13: C function
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lec13-2: reinforcenment learning for model w/ endogenous state space
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Lec_3_1: What is machine learning
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Lec 16: AS
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Lec 15: AD
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lec3_2: euler equation based numerical method
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lec10-2: Computation of Aiyagari Model
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高级宏观经济理论: 22-Uncertainty in Macro,3
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Lec_6_1: Projection with polynomials
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高级宏观经济理论: 21-Uncertainty in Macro,2
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lec10-1: aiyagari incomplete market
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高级宏观经济理论: 20-Uncertainty in Macro,1
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lec4_2: introduction to PyTorch for macroeconomist
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lec5_2: introduction to deep learning
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Lec_2_1: Floating points
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Lec_1_1: Intro
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Lec 9: growth
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高级宏观经济理论: 10-Optimazation in Infinite Horizon,2
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lec6-1: high performance computing basic
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lec13-1: dynamic model w/ endogenous state space
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高级宏观经济理论: 6-Optimazation in Finite Horizon, 1