Neural Networks for Statistical Modeling by Murray Smith
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Forex Trading – Foreign Exchange Course
You want to learn about Forex?
Foreign exchange, or forex, is the conversion of one country’s currency into another.
In a free economy, a country’s currency is valued according to the laws of supply and demand.
In other words, a currency’s value can be pegged to another country’s currency, such as the U.S. dollar, or even to a basket of currencies.
A country’s currency value may also be set by the country’s government.
However, most countries float their currencies freely against those of other countries, which keeps them in constant fluctuation.
This book provides a detailed, yet accessible technical explanation of the inner workings of backpropagation of errors, the most commonly used training method for feedforward neural networks.
This book is for the programmer who wishes to implement backprop, or for the data miner who wishes to understand backprop. This book is not well-suited for people without a technical (math) background.
Pros:
-Pseudocode is provided
-Explanation advances from plain vanilla backprop to variants including enhancements like adaptive step size and momentum
-Application of neural networks is covered, including practical issues such as appropriate data representation and avoidance of over-fitting
-A few alternative architectures are explained (briefly) at the end of the book
Get Neural Networks for Statistical Modeling by Murray Smith at Salaedu.com
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