EAN: 9781492073055

MACHINE LEARNING AND DATA SCIENCE BLUEPRINTS FO...

Over the next few decades  machine learning and data science will transform the finance
industry. With this practical book  analysts  traders  researchers  and developers will learn
how to build machine learning algorithms crucial to the industry. You'll examine ML concepts
and over 20 case studies in supervised  unsupervised  and reinforcement learning  along with
natural language processing (NLP). Ideal for professionals working at hedge funds  investment
and retail banks  and fintech firms  this book also delves deep into portfolio management 
algorithmic trading  derivative pricing  fraud detection  asset price prediction  sentiment
analysis  and chatbot development. You'll explore real-life problems faced by practitioners and
learn scientifically sound solutions supported by code and examples. This book covers:
Supervised learning regression-based models for trading strategies  derivative pricing  and
portfolio management Supervised learning classification-based models for credit default risk
prediction  fraud detection  and trading strategies Dimensionality reduction techniques with
case studies in portfolio management  trading strategy  and yield curve construction Algorithms
and clustering techniques for finding similar objects  with case studies in trading strategies
and portfolio management Reinforcement learning models and techniques used for building trading
strategies  derivatives hedging  and portfolio management NLP techniques using Python libraries
such as NLTK and scikit-learn for transforming text into meaningful representations

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