Description
- ISBN-10: 0367639726
- ISBN-13: 978-0367639723
- Edition: 1st
- Publication date: 8 August 2023
- Part of series: Chapman and Hall/CRC Financial Mathematics
- Language: English
- Dimensions: 17.8 x 2.06 x 25.4 cm
- Print length: 340 pages
Original price was: ₹8,302.95.₹7,472.65Current price is: ₹7,472.65.
Unlock the power of Machine Learning in finance with “Machine Learning for Factor Investing: Python Version.” This essential guide from The Bookish Owl demystifies advanced ML techniques for quantitative finance and algorithmic trading, making them accessible to non-specialists. Explore alpha signal generation, stock selection, and modern investment strategies using firm characteristics. The book offers a deep dive into supervised learning algorithms like tree models and neural networks, alongside complex methods such as autoencoders and causal models, all explained with clear economic rationales. Featuring practical, self-contained Python code samples applied to a large public dataset, this book bridges theory and practice, equipping you with the skills to enhance your financial and technical expertise. Perfect for those with a basic understanding of quantitative finance.
5 in stock