Hoover 发表于 2025-3-21 19:52:45

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机警 发表于 2025-3-21 20:29:45

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很像弓] 发表于 2025-3-22 01:08:14

Univariate Time Series Using Recurrent Neural Nets,zers. Second, it discusses the sequence data problem and how a recurrent neural network (RNN) solves it. Third, the chapter presents a way of designing, developing, and testing the most popular RNN, which is the long short-term memory (LSTM) model. We use the Keras framework for rapid prototyping an

溺爱 发表于 2025-3-22 06:04:35

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Legend 发表于 2025-3-22 09:14:14

Stock Clustering,ers are not. High-risk assets are those whose prices change drastically in short periods. To secure capital, investors may select groups of stocks, rather than investing in a single stock or class of stocks. Given that there are many stocks to choose from, investors ordinarily find it arduous to sin

幻想 发表于 2025-3-22 14:19:06

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Vulnerary 发表于 2025-3-22 18:24:17

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Contracture 发表于 2025-3-23 00:41:05

Market Trend Classification Using ML and DL,he . to predict the possible direction of the market. This chapter presents the nonparametric (or nonlinear) method, also called the .. This prevalent method operates on independent variables and triggers a bounded value. It is suitable when dealing with a categorical dependent variable (a dependent

osculate 发表于 2025-3-23 02:53:47

Investment Portfolio and Risk Analysis, several machine learning models and deep learning models for robust investment management decision-making. Throughout the book, we alluded to investing in markets involving risk. In this chapter, we present the primitives of investment risk and performance analysis using the Pyfolio package. To ins

有权威 发表于 2025-3-23 08:59:02

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查看完整版本: Titlebook: Implementing Machine Learning for Finance; A Systematic Approac Tshepo Chris Nokeri Book 2021 Tshepo Chris Nokeri 2021 Machine Learning.Dee