Machine Learning for Finance
Principles and practice for financial insiders
|Price||$31.99 - $50.31
|Format||Paper book / ebook (PDF)|
Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.
The book is based on Jannes Klaas experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways.
The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and probabilistic programming.
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Price: $18.12 | Publisher: O'Reilly Media | Release: 2012
by Akhil Wali
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Price: $29.99 | Publisher: Packt Publishing | Release: 2014
by Patrick R. Nicolas
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering designs, biometrics, and trading strategies, to detection of genetic anomalies.The book begins with an introduction to the...
Price: $35.99 | Publisher: Packt Publishing | Release: 2014
by Sudipta Mukherjee
The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.If you want to learn how to use F# to build machine learning systems, then this is th...
Price: $31.99 | Publisher: Packt Publishing | Release: 2016