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Machine Learning and Data Science Blueprints for Finance: From Building Trading

Description: Title: Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python Author: Tatsat, Hariom Publisher: O'Reilly Media Binding: Paperback Pages: 429 Dimensions: 9.10h x 7.00w x 1.00d Product Weight: 1.45 lbs. Language: English ISBN: 9781492073055 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   Ships Fast From The USA! Authorized Dealer

Price: 84.99 USD

Location: Tennessee

End Time: 2024-11-09T00:20:42.000Z

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Machine Learning and Data Science Blueprints for Finance: From Building Trading

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Book Title: Machine Learning and Data Science Blueprints for Finance: From Bu

Number of Pages: 429 Pages

Publication Name: Machine Learning and Data Science Blueprints for Finance : From Building Trading Strategies to Robo-Advisors Using Python

Language: English

Publisher: O'reilly Media, Incorporated

Subject: Data Modeling & Design, Finance / General

Publication Year: 2020

Item Height: 0.9 in

Type: Textbook

Item Weight: 25.8 Oz

Subject Area: Computers, Business & Economics

Item Length: 9.2 in

Author: Sahil Puri, Brad Lookabaugh, Hariom Tatsat

Item Width: 7.4 in

Format: Trade Paperback

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