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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
book

Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios

by Tshepo Chris Nokeri
May 2021
Intermediate to advanced
192 pages
2h 42m
English
Apress
Content preview from Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Index
A
Activation function
Adaptive movement estimation (Adam)
Additive model
data preprocessing
forecast
model
seasonal decomposition
Area under the curve (AUC)
Augmented Dickey-Fuller (ADF) test
Australian Securities and Investments Commission (ASIC)
Autoregressive integrated moving average (ARIMA) model
definition
develop
forecasting
hyperparameters
B
Backtesting
Bear trend
Binary classification
Brokerage
Bullish trend
C
Classification method
accuracy across epochs, training/validation
architecture
data preprocessing
dataset
finalize method
loss across epochs
scrap data
Cluster analysis
Contracts for difference (CFD)
Correlation method
covariance
definition
Eigen matrix
pairwise scatter plot
Pearson
D
Deep learning model
Desk dealing (DD) brokers
Dickey-Fuller (ADF) test
Dimension ...
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Publisher Resources

ISBN: 9781484271100Purchase LinkPublisher Website