Tatsat, Hariom
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
- ISBN 13:
- 9781492073055
- author:
- Tatsat, Hariom
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2021
- Pages:
- 428
- Dimensions:
- 23.3 x 17.8 centimeters (0.67 kg
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Building machine learning algorithms crucial to the finance industry is now within reach. This practical book provides a comprehensive guide to supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP), using Python.
With over 20 case studies covering topics such as portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development, this book offers real-life solutions to common problems faced by practitioners. You'll explore scientifically sound approaches supported by code and examples.
From regression-based models for trading strategies and derivative pricing to classification-based models for credit default risk prediction and NLP techniques using Python libraries such as NLTK and scikit-learn, this book covers a range of essential topics in machine learning and data science for finance.
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