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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Paperback
Investing & FinanceGeneral ComputersProgramming
Publisher Price: $54.99
ISBN13: 9781484271094
Publisher: Apress
Published: May 27 2021
Pages: 182
Weight: 0.64
Height: 0.43 Width: 6.14 Depth: 9.21
Language: English
By the end of this book, you should be able to explain how algorithmic trading works and its practical application in the real world, and know how to apply supervised and unsupervised ML and DL models to bolster investment decision making and implement and optimize investment strategies and systems. What You Will Learn
- Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management
- Know the concepts of feature engineering, data visualization, and hyperparameter optimization
- Design, build, and test supervised and unsupervised ML and DL models
- Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices
- Structure and optimize an investment portfolio with preeminent asset classes and measure the underlying risk
Beginning and intermediate data scientists, machine learning engineers, business executives, and finance professionals (such as investment analysts and traders)
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