--- product_id: 62827306 title: "Advances in Financial Machine Learning" price: "£39.01" currency: GBP in_stock: true reviews_count: 11 url: https://www.desertcart.co.uk/products/62827306-advances-in-financial-machine-learning store_origin: GB region: United Kingdom --- # Advances in Financial Machine Learning **Price:** £39.01 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Advances in Financial Machine Learning - **How much does it cost?** £39.01 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/62827306-advances-in-financial-machine-learning) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Buy Advances in Financial Machine Learning 1 by Lopez de Prado, Marcos (ISBN: 9781119482086) from desertcart's Book Store. Everyday low prices and free delivery on eligible orders. Review: Transforming Quantamental Finance with a Structured Framework and Collaborative Paradigm - Marcos López de Prado’s Advances in Financial Machine Learning is an exceptional guide that bridges the gap between academia and industry. Co-authored with experts like Simon and Alexander Lipton, the book is a testament to López de Prado’s decades of experience in quantitative finance. It offers a unique blend of practicality and structured insights, making it a vital resource for professionals and academics alike. What truly sets this book apart is its meticulous structure and systematic approach. The content is divided into clear sections that build upon one another, starting with foundational concepts of data analysis and advancing to sophisticated modelling, backtesting, and feature extraction. López de Prado avoids unnecessary complexity, focusing instead on presenting a robust framework that readers can adapt to their specific needs. Each chapter is designed to address real-world challenges, creating a seamless learning experience. Chapter 22 is particularly noteworthy, as it introduces the high-performance computational methods pioneered at Berkeley Lab. This chapter not only highlights the importance of advanced hardware and software in modern finance but also showcases the meta-strategy paradigm—a collaborative approach inspired by Berkeley’s structured research model. By emphasizing team-based problem-solving and interdisciplinary strategies, López de Prado reinforces the value of organized frameworks over ad-hoc methodologies. Horst Simon’s and Alexander Lipton’s contributions enrich the book with additional perspectives, ensuring it appeals to a broad audience. Together, the authors provide a roadmap for navigating the complexities of machine learning in finance while remaining grounded in practical, actionable insights. In summary, Advances in Financial Machine Learning is a groundbreaking book that combines a strong theoretical foundation with a pragmatic focus on implementation—an essential read for anyone looking to thrive in the rapidly evolving world of quantitative finance. Whether you’re a seasoned professional or a curious academic, this book is a must-have addition to your library. Review: Highly practical and reliable information - For those looking to learn machine learning techniques that deliver reliable results in finance, this book is ideal. In particular, the HRP algorithm delivers exceptional results. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #38,534 in Books ( See Top 100 in Books ) #4 in Business Investments #7 in Machine Theory (Books) #210 in Investing (Books) | | Customer Reviews | 4.4 4.4 out of 5 stars (681) | | Dimensions | 6.3 x 1.2 x 9.2 inches | | Edition | 1st | | ISBN-10 | 1119482089 | | ISBN-13 | 978-1119482086 | | Item Weight | 1.46 pounds | | Language | English | | Print length | 400 pages | | Publication date | February 21, 2018 | | Publisher | Wiley | ## Images ![Advances in Financial Machine Learning - Image 1](https://m.media-amazon.com/images/I/71Me6awuErL.jpg) ![Advances in Financial Machine Learning - Image 2](https://m.media-amazon.com/images/I/91CvmhaDGDS.jpg) ![Advances in Financial Machine Learning - Image 3](https://m.media-amazon.com/images/I/71lmDZHZ7uL.jpg) ![Advances in Financial Machine Learning - Image 4](https://m.media-amazon.com/images/I/81ELEc76TtL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Transforming Quantamental Finance with a Structured Framework and Collaborative Paradigm *by D***N on 5 January 2025* Marcos López de Prado’s Advances in Financial Machine Learning is an exceptional guide that bridges the gap between academia and industry. Co-authored with experts like Simon and Alexander Lipton, the book is a testament to López de Prado’s decades of experience in quantitative finance. It offers a unique blend of practicality and structured insights, making it a vital resource for professionals and academics alike. What truly sets this book apart is its meticulous structure and systematic approach. The content is divided into clear sections that build upon one another, starting with foundational concepts of data analysis and advancing to sophisticated modelling, backtesting, and feature extraction. López de Prado avoids unnecessary complexity, focusing instead on presenting a robust framework that readers can adapt to their specific needs. Each chapter is designed to address real-world challenges, creating a seamless learning experience. Chapter 22 is particularly noteworthy, as it introduces the high-performance computational methods pioneered at Berkeley Lab. This chapter not only highlights the importance of advanced hardware and software in modern finance but also showcases the meta-strategy paradigm—a collaborative approach inspired by Berkeley’s structured research model. By emphasizing team-based problem-solving and interdisciplinary strategies, López de Prado reinforces the value of organized frameworks over ad-hoc methodologies. Horst Simon’s and Alexander Lipton’s contributions enrich the book with additional perspectives, ensuring it appeals to a broad audience. Together, the authors provide a roadmap for navigating the complexities of machine learning in finance while remaining grounded in practical, actionable insights. In summary, Advances in Financial Machine Learning is a groundbreaking book that combines a strong theoretical foundation with a pragmatic focus on implementation—an essential read for anyone looking to thrive in the rapidly evolving world of quantitative finance. Whether you’re a seasoned professional or a curious academic, this book is a must-have addition to your library. ### ⭐⭐⭐⭐⭐ Highly practical and reliable information *by T***L on 9 June 2025* For those looking to learn machine learning techniques that deliver reliable results in finance, this book is ideal. In particular, the HRP algorithm delivers exceptional results. ### ⭐⭐⭐⭐⭐ Excellent book. *by M***S on 28 July 2018* Excellent book. Compact and conscise. The author is very knowledgable and does a very good at explaining many advanced subjects. The book is addressed to practiotioners and includes (compact) python code snippets for most algorithms and methods discussed. Although it covers a lot of material, the author managed to concentrate on the essentials, which resulted in a good of very reasonable size. It is mostly a self-sufficient book (assuming the reader has some background in mathematics and finance) and the author provides plenty of references for anyone wishing to explore a subject in more detail. Excellent! ## Frequently Bought Together - Advances in Financial Machine Learning - Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition - Machine Learning for Asset Managers (Elements in Quantitative Finance) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/62827306-advances-in-financial-machine-learning](https://www.desertcart.co.uk/products/62827306-advances-in-financial-machine-learning) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-05-20*