Reinforcement Learning for Finance: Solve Problems in Finance with CNN and Rnn Using the Tensorflow Library - Paperback
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Language:EnglishPublisher:ApressISBN-13:9781484288344ISBN-10:1484288343UPC:9781484288344Book Category:Computers, MathematicsBook Subcategory:Artificial Intelligence, Languages, Probability & StatisticsBook Topic:PythonSize:9.21 x 6.14 x 0.89 inchesWeight:1.3514Product ID:SCV6AFJZTS
Reinforcement Learning for Finance: Solve Problems in Finance with CNN and Rnn Using the Tensorflow Library
This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library.
Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN - two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into...
Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN - two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into...
Language:EnglishPublisher:ApressISBN-13:9781484288344ISBN-10:1484288343UPC:9781484288344Book Category:Computers, MathematicsBook Subcategory:Artificial Intelligence, Languages, Probability & StatisticsBook Topic:PythonSize:9.21 x 6.14 x 0.89 inchesWeight:1.3514Product ID:SCV6AFJZTS
Samit Ahlawat is a Senior Vice President in Quantitative Research, Capital Modeling at J.P. Morgan Chase in New York, US. In his current role, he is responsible for building trading strategies for asset management and for building risk management models. His research interests include artificial intelligence, risk management and algorithmic trading strategies. He has given CQF institute talks on...
Publisher: Apress
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