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Implementing Machine Learning for Finance

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Cover of 'Implementing Machine Learning for Finance'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Financial Markets and Algorithmic Trading
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    Chapter 2 Forecasting Using ARIMA, SARIMA, and the Additive Model
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    Chapter 3 Univariate Time Series Using Recurrent Neural Nets
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    Chapter 4 Discover Market Regimes
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    Chapter 5 Stock Clustering
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    Chapter 6 Future Price Prediction Using Linear Regression
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    Chapter 7 Stock Market Simulation
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    Chapter 8 Market Trend Classification Using ML and DL
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    Chapter 9 Investment Portfolio and Risk Analysis
Attention for Chapter 2: Forecasting Using ARIMA, SARIMA, and the Additive Model
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