کتاب دانلود کتب لاتین علوم انسانیحسابداری
طرح های اولیه یادگیری ماشین و علم داده برای امور مالی - از ساخت استراتژی های معاملاتی تا روبو مشاوران با استفاده از پایتون
طرح های اولیه یادگیری ماشین و علم داده برای امور مالی - از ساخت استراتژی های معاملاتی تا روبو مشاوران با استفاده از پایتون

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
نویسنده: Hariom Tatsat
سال انتشار: 2021
تعداد صفحات: 737
زبان فایل: انگلیسی
فرمت فایل: Converted pdf, epub
حجم فایل: 20MB
رمز فایل: www.ketabdownload.com

دانلود رایگان

Publisher: O'Reilly

ISBN-10: 1492073059

ISBN-13: 978-1492073055

ASIN: B08KKDXNV4

1st Edition

by Hariom Tatsat (Author), Sahil Puri (Author), Brad Lookabaugh (Author)

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