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HANDS-ON DEEP LEARNING FOR FINANCE : implement deep learning techniques and algorithms to create ... powerful trading strategies by Luigi Troiano, Arjun Bhandari, Elena Mejuto Villa is a computer science book available to read on EtoBox.
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Cover Title Page Copyright and Credits About Packt Contributors Table of Contents Preface Section 1: Introduction Chapter 1: Deep Learning for Finance 101 How AI is redefining the financial services industry A brief history of AI in finance A shared background (before 1880) Computing probabilities (1880-1950) Automatic reasoning (1950-1980) Expert systems (1980-1990) Narrow AI systems (1990-2010) Machine learning at scale (2011-today) A first look at deep learning for finance Data gathering Implementing an autoencoder Using TensorFlow to implement the autoencoder Summary Chapter 2: Designing Neural Network Architectures Going through the basics Organizing neurons Representational spaces Learning the weights Regularization An interlude of history Working with MLP Neurons based on distance Computing with tensors Training a network through backpropagation Understanding CNNs LeNet-5, AlexNet, and others Understanding RNNs Long Short-Term Memory (LSTM) Gated recurrent unit Summary Chapter 3: Constructing, Testing, and Validating Models Building blocks of financial models Formulating a hypothesis for trading Selecting relevant financial models Example – factor models for return predicti
Who reads HANDS-ON DEEP LEARNING FOR FINANCE : implement deep learning techniques and algorithms to create ... powerful trading strategies?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Luigi Troiano, Arjun Bhandari, Elena Mejuto Villa
- Publisher
- Packt Publishing, Limited; Packt Publishing
- Published
- 2020
- Language
- EN
- ISBN
- 9781789613179
- Category
- computer science
- Subjects
- Computer Science, Computers, Artificial Intelligence (Ai)
- Updated
- 2026-03-25
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