lec5_1: introduction to Machine learning
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lec11-2: machine learning and value function
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lec5_2: introduction to deep learning
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Introduction 1-1
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lec11-1: machine learning and FOC
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lec4_2: introduction to PyTorch for macroeconomist
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Quant Macro w/ Machine Learning 1: Intro
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Introduction 1-2
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Lec_8_1: Krusell-Smith model via Machine Learning
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Quant Macro w/ Machine Learning 5: Projection Methods
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Quant Macro w/ Machine Learning 4: Linearization and Perturbation
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Quant Macro w/ Machine Learning 3: Numerical Solution of Dynamic Models
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lec4_1: introduction to python for macroeconomist
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Quant Macro w/ Machine Learning 9: Krusell-Smith Model
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Lec_3_2: How machine learning works, pattern recognition
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Lec_7_1: Review of Machine learning
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lec7_1: Linearization
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Lec_3_1: What is machine learning
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Quant Macro w/ Machine Learning 2: Computation Basics
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Quant Macro w/ Machine Learning 11: Machine Learning for Dynamic Models
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高级宏观经济理论: 1-引言1
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lec7_2: Perturbation
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Quant Macro w/ Machine Learning 10: Machine Learning Basics
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Lec_2_1: numerical optimization
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lec3_1: value function based numerical method
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lec9: calibration and estimation
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lec3_2: euler equation based numerical method
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lec10-1: aiyagari incomplete market
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lec13-2: reinforcenment learning for model w/ endogenous state space
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lec8_2: finite element
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Lec_2_2: Optimization derivative based
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lec6-2: MPI parellel computing
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力矩、重心的概念；受力、力矩平衡刷题；刚体的严格定义及刚体平衡条件的严格证明
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lec8_1: Projection
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Lec_3_3: Deep neural network
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lec_2_2: numerical interpolation
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lec12-1: simple markov equilibrium
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lec13-1: dynamic model w/ endogenous state space
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Lec_1_2: Intro
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lec10-2: Computation of Aiyagari Model
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Lec_8_1: Krusell-Smith model