Description: Machine Learning and Data Science Blueprints for Finance : From Building Trading Strategies to Robo-Advisors Using Python, Paperback by Tatsat, Hariom; Puri, Sahil; Lookabaugh, Brad, ISBN 1492073059, ISBN-13 9781492073055, Brand New, Free shipping in the US 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 managementSupervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategiesDimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve constructionAlgorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio managementReinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio managementNLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Price: 59.48 USD
Location: Jessup, Maryland
End Time: 2024-11-23T12:01:20.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Machine Learning and Data Science Blueprints for Finance : From B
Number of Pages: 429 Pages
Language: English
Publication Name: Machine Learning and Data Science Blueprints for Finance : From Building Trading Strategies to Robo-Advisors Using Python
Publisher: O'reilly Media, Incorporated
Item Height: 0.9 in
Publication Year: 2020
Subject: Data Modeling & Design, Finance / General
Item Weight: 25.8 Oz
Type: Textbook
Author: Sahil Puri, Brad Lookabaugh, Hariom Tatsat
Item Length: 9.2 in
Subject Area: Computers, Business & Economics
Item Width: 7.4 in
Format: Trade Paperback