{"product_id":"machine-learning-and-data-science-blueprints-for-finance-from-building-trading-strategies-to-robo-advisors-using-python-9781492073055","title":"Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python","description":"\u003cp\u003e • Author(s): Hariom Tatsat\u003cbr\u003e • Publisher: O'Reilly Media\u003cbr\u003e • Publisher Imprint: O'Reilly Media\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOver 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). \u003c\/p\u003e\u003cp\u003e 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. \u003c\/p\u003e\u003cp\u003e This book covers: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eSupervised learning regression-based models for trading strategies, derivative pricing, and portfolio management \u003c\/li\u003e\n\u003cli\u003eSupervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies \u003c\/li\u003e\n\u003cli\u003eDimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction \u003c\/li\u003e\n\u003cli\u003eAlgorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management \u003c\/li\u003e\n\u003cli\u003eReinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management \u003c\/li\u003e\n\u003cli\u003eNLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations \u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback","offer_id":45030059278487,"sku":"9781492073055","price":5502.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781492073055.webp?v=1769198539","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-and-data-science-blueprints-for-finance-from-building-trading-strategies-to-robo-advisors-using-python-9781492073055","provider":"Atlantic Books","version":"1.0","type":"link"}