cyanosis
发表于 2025-3-25 06:54:40
Theoretical Models,er, we explain how theoretical economic models can be defined and solved in TensorFlow. We also discuss the use of reinforcement learning as a means of solving models and briefly consider an example that involves deep Q-learning.
暗指
发表于 2025-3-25 08:13:33
oblems with an empirical dimension.Define and solve any mathMachine learning has taken time to move into the space of academic economics. This is because empirical research in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine
heterogeneous
发表于 2025-3-25 11:43:44
TensorFlow 2, 2, which was a substantial departure from TensorFlow 1. In this chapter, we will introduce TensorFlow 2, explain how it can be used in economics and finance, and then review preliminary material that will be necessary for understanding the material in later chapters. .
CREEK
发表于 2025-3-25 18:53:57
Trees,lems in economics and finance. In this chapter, we introduce the concept of tree-based models, including random forests and gradient-boosted trees, and then examine their implementation in the high-level Estimators API.
Explicate
发表于 2025-3-25 20:51:35
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Triglyceride
发表于 2025-3-26 03:57:06
Time Series,n. There is, however, a clear intersection between objectives when it comes to forecasting in economics and finance. Throughout this chapter, we will use machine learning and TensorFlow to forecast inflation in a time series context, building on an early use of neural networks in economics (Nakamura 2005).
外形
发表于 2025-3-26 06:16:07
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tariff
发表于 2025-3-26 10:46:06
Isaiah HullGain a full pipeline of tools needed to structure and develop an ML economics project.Apply a variety of deep learning models to economic problems with an empirical dimension.Define and solve any math
分开
发表于 2025-3-26 15:30:06
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明智的人
发表于 2025-3-26 17:44:27
https://doi.org/10.1007/978-1-4842-6373-0Machine Learning; Data Science; Big Data; Economics; Finance; TesnorFlow; Deep Learning; Text Analysis; Natu