Price: $19.99 - $7.99
(as of Jan 24, 2026 03:35:25 UTC – Details)
Data Science for Finance: How to Use AI and Machine Learning in Investing is the ultimate guide for understanding how artificial intelligence (AI) and machine learning (ML) are transforming the finance industry. Whether you’re a finance professional, an investor, or a tech enthusiast, this book will teach you how to leverage data science to enhance your investing strategies, optimize portfolio management, and mitigate risks.
In this comprehensive guide, you’ll explore how AI and ML algorithms are used in algorithmic trading, risk analysis, fraud detection, and more. With practical examples and real-world case studies, you’ll learn how to apply machine learning models to financial markets, maximize returns, and make data-driven decisions in the fast-paced world of finance.
Inside, you’ll discover:
Introduction to Data Science in Finance: Understand the fundamentals of data science and how it’s being applied in financial markets, from risk management to trading strategies.Algorithmic Trading: Learn how algorithmic trading works, and explore common strategies such as mean reversion, momentum trading, and statistical arbitrage. Discover how machine learning models can be used to create predictive algorithms for trading.Machine Learning for Financial Forecasting: Dive into the use of machine learning for predicting stock prices, market trends, and economic indicators, using techniques like time series forecasting and supervised learning models.Risk Analysis and Management: Explore how AI is used to assess and manage risk in investment portfolios, including the use of models like Value at Risk (VaR), Monte Carlo simulations, and portfolio optimization algorithms.Fraud Detection and Prevention: Understand how machine learning is used to detect fraudulent activities and mitigate risk in financial institutions, employing techniques such as anomaly detection and neural networks.AI-Powered Investing: Learn how to implement AI in asset management and how robo-advisors are revolutionizing personal finance. Understand how AI is used to optimize asset allocation and maximize returns.Data Sources and Tools: Get familiar with the key data sources in finance (stock market data, economic reports, financial statements) and tools such as Python, Pandas, and machine learning libraries (Scikit-learn, TensorFlow, etc.).Ethics and Regulation in AI Finance: Understand the ethical concerns and regulatory considerations when implementing AI and machine learning in finance, including data privacy, model transparency, and market fairness.
By the end of this book, you’ll have the knowledge to apply AI and machine learning to your own investing strategies, enhancing your ability to analyze financial markets, optimize portfolios, and reduce risks with data-driven decisions.
ASIN : B0DZXCVZHW
Accessibility : Learn more
Publication date : March 9, 2025
Language : English
File size : 630 KB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 183 pages
Page Flip : Enabled
Best Sellers Rank: #2,040,926 in Kindle Store (See Top 100 in Kindle Store) #477 in Data Mining (Kindle Store) #774 in Expert Systems #1,015 in Data Mining (Books)
