Machine learning and data science blueprints for finance : from building trading strategies to robo-advisors using Python / Hariom Tatsat, Sahil Puri, and Brad Lookabaugh.
Title:
Machine learning and data science blueprints for finance : from building trading strategies to robo-advisors using Python / Hariom Tatsat, Sahil Puri, and Brad Lookabaugh.
Personal Author:
Edition:
First edition.
Publication:
Sebastopol, CA : O'Reilly Media, 2020.
Copyright:
©2021
Publication Date:
2020
ISBN:
9781492073055
General Note:
Includes index.
Contents:
Part 1. The framework. Machine learning in finance: the landscape -- Developing a machine learning model in Python -- Artificial neural networks -- Part 2. Supervised learning. Supervised learning : models and concepts -- Supervised learning : regression (including time series models) -- Supervised learning : classification -- Part 3. Unsupervised learning. Unsupervised learning : dimensionality reduction -- Unsupervised learning : clustering -- Part 4. Reinforcement learning and natural language processing. Reinforcement learning -- Natural language processing.
Abstract:
Machine learning and data science will significantly transform the finance industry in the next few years. With this practical guide, professionals at hedge funds, investment and retail banks, and fintech firms will learn how to build ML algorithms crucial to this industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP).
Content Type:
text
Carrier Type:
volume
Language:
English
No. of Holds:
