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You're reading from  Mastering Python for Finance. - Second Edition

Product typeBook
Published inApr 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789346466
Edition2nd Edition
Languages
Python
Tools
TensorFlow
Concepts
Financial Technology
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Author (1)
James Ma Weiming
James Ma Weiming
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James Ma Weiming

James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.
Read more about James Ma Weiming

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Credit card payment default prediction with Keras

Another popular deep learning Python library is Keras. In this section, we will use Keras to build a credit card payment default prediction model, and see how easy it is to construct an artificial neural network with five hidden layers, apply activation functions, and train this model as compared to TensorFlow.

Introduction to Keras

Keras is an open source deep learning library in Python, designed to be high level, user friendly, modular, and extensible. Keras was conceived to be an interface rather than a standalone machine learning framework, running on top of TensorFlow, CNTK, and Theano. Its huge community base with over 200,000 users makes it one of the most...

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Mastering Python for Finance. - Second Edition
Published in: Apr 2019Publisher: PacktISBN-13: 9781789346466
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
James Ma Weiming

James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.
Read more about James Ma Weiming

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