{"product_id":"advances-in-financial-machine-learning-hardcover","title":"Advances in Financial Machine Learning - Hardcover","description":"\u003cp\u003eby \u003cb\u003eMarcos Lopez de Prado\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLearn to understand and implement the latest machine learning innovations to improve your investment performance\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.\u003c\/p\u003e \u003cp\u003eIn the book, readers will learn how to: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eStructure big data in a way that is amenable to ML algorithms\u003c\/li\u003e \u003cli\u003eConduct research with ML algorithms on big data\u003c\/li\u003e \u003cli\u003eUse supercomputing methods and back test their discoveries while avoiding false positives\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eAdvances in Financial Machine Learning\u003c\/i\u003e addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.\u003c\/p\u003e \u003cp\u003eWritten by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.\u003c\/p\u003e\u003ch3\u003eFront Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eToday's machine learning (ML) algorithms have conquered the major strategy games, and are routinely used to execute tasks once only possible by a limited group of experts. Over the next few years, ML algorithms will transform finance beyond anything we know today. \u003ci\u003eAdvances in Financial Machine Learning\u003c\/i\u003e was written for the investment professionals and data scientists at the forefront of this evolution. \u003c\/p\u003e\u003cp\u003eThis one-of-a-kind, practical guidebook is your go-to resource of authoritative insight into using advanced ML solutions to overcome real-world investment problems. It demystifies the entire subject and unveils cutting-edge ML techniques specific to investing. With step-by-step clarity and purpose, it quickly brings you up to speed on fully proven approaches to data analysis, model research, and discovery evaluation. Then, it shines a light on the nuanced details behind innovative ways to extract informative features from financial data. To streamline implementation, it gives you valuable recipes for high-performance computing systems optimized to handle this type of financial data analysis. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvances in Financial Machine Learning\u003c\/i\u003e crosses the proverbial divide that separates academia and the industry. It does not advocate a theory merely because of its mathematical beauty, and it does not propose a solution just because it appears to work. The author transmits the kind of knowledge that only comes from experience, formalized in a rigorous manner. \u003c\/p\u003e\u003cp\u003eThis turnkey guide is designed to be immediately useful to the practitioner by featuring code snippets and hands-on exercises that facilitate the quick absorption and application of best practices in the real world. \u003c\/p\u003e\u003cp\u003eStop guessing and profit off data by: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eTackling today's most challenging aspects of applying ML algorithms to financial strategies, including backtest overfitting\u003c\/li\u003e \u003cli\u003eUsing improved tactics to structure financial data so it produces better outcomes with ML algorithms\u003c\/li\u003e \u003cli\u003eConducting superior research with ML algorithms as well as accurately validating the solutions you discover\u003c\/li\u003e \u003cli\u003eLearning the tricks of the trade from one of the largest ML investment managers\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePut yourself ahead of tomorrow's competition today with \u003ci\u003eAdvances in Financial Machine Learning.\u003c\/i\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ePraise for \u003cb\u003eADVANCES \u003ci\u003ein\u003c\/i\u003e FINANCIAL MACHINE LEARNING\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\"Dr. López de Prado has written the first comprehensive book describing the application of modern ML to financial modeling. The book blends the latest technological developments in ML with critical life lessons learned from the author's decades of financial experience in leading academic and industrial institutions. I highly recommend this exciting book to both prospective students of financial ML and the professors and supervisors who teach and guide them.\" --\u003cb\u003ePROF. PETER CARR\u003c\/b\u003e, Chair of the Finance and Risk Engineering Department, NYU Tandon School of Engineering \u003c\/p\u003e\u003cp\u003e\"Financial problems require very distinct machine learning solutions. Dr. López de Prado's book is the first one to characterize what makes standard machine learning tools fail when applied to the field of finance, and the first one to provide practical solutions to unique challenges faced by asset managers. Everyone who wants to understand the future of finance should read this book.\" --\u003cb\u003ePROF. FRANK FABOZZI\u003c\/b\u003e, EDHEC Business School; Editor of \u003ci\u003eThe Journal of Portfolio Management\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\"Marcos has assembled in one place an invaluable set of lessons and techniques for practitioners seeking to deploy machine learning methods in finance. Marcos's insightful book is laden with useful advice to help keep a curious practitioner from going down any number of blind alleys, or shooting oneself in the foot.\" --\u003cb\u003eROSS GARON\u003c\/b\u003e, Head of Cubist Systematic Strategies; Managing Director, Point72 Asset Management \u003c\/p\u003e\u003cp\u003e\"The first wave of quantitative innovation in finance was led by Markowitz optimization. Machine learning is the second wave and it will touch every aspect of finance. López de Prado's \u003ci\u003eAdvances in Financial Machine Learning\u003c\/i\u003e is essential for readers who want to be ahead of the technology rather than being replaced by it.\" --\u003cb\u003ePROF. CAMPBELL HARVEY\u003c\/b\u003e, Duke University; Former President of the American Finance Association \u003c\/p\u003e\u003cp\u003e\"The author's academic and professional first-rate credentials shine through the pages of this book-- indeed, I could think of few, if any, authors better suited to explaining both the theoretical and the practical aspects of this new and (for most)unfamiliar subject. Destined to become a classic in this rapidly burgeoning field.\" --\u003cb\u003ePROF. RICCARDO REBONATO\u003c\/b\u003e, EDHEC Business School; Former Global Head of Rates and FX Analytics at PIMCO\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDR. MARCOS LÓPEZ DE PRADO\u003c\/b\u003e is a principal at AQR Capital Management, and its head of machine learning. Marcos is also a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). SSRN ranks him as one of the most-read authors in economics, and he has published dozens of scientific articles on machine learning and supercomputing in the leading academic journals. Marcos earned a PhD in financial economics (2003), a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain's National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he teaches a graduate course in financial machine learning at the School of Engineering. Marcos has an Erdös #2 and an Einstein #4 according to the American Mathematical Society.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 400\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9 x 6.3 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 21, 2018\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51772716777760,"sku":"9781119482086","price":54.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/dd8a35c6f539a307f955b78f18e75f87.webp?v=1780412343","url":"https:\/\/ebocreations.com\/products\/advances-in-financial-machine-learning-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}