Product details
- ASIN : B07BDK6LF9
- Publisher : Packt Publishing; 1st edition (May 30, 2019)
- Publication date : May 30, 2019
- Language : English
- Print length : 703 pages
کتاب Machine Learning for Finance: Principles and practice for financial insiders
Key Features
- Explore advances in machine learning and how to put them to work in financial industries
- Clear explanation and expert discussion of how machine learning works, with an emphasis on financial applications
- Deep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement learning
Book Description
Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It 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 the advanced ML concepts and ideas that can be applied in a wide variety of ways.
The book shows how machine learning works on structured data, text, images, and time series. It includes coverage of generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. It discusses how to fight bias in machine learning and ends with an exploration of Bayesian inference and probabilistic programming.
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