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Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine 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. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning 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. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
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"Teresa Lozano Long Institute of Latin American Studies."
By combining chronological coverage, analytical breadth, and interdisciplinary approaches, these two volumes—Histories of Solitude and Histories of Perplexity—study the histories of Colombia over the last two centuries as illustrations of the histories of democracy across the Americas. The volumes bring together over 40 scholars based in Colombia, the United States, England, and Canada working in various disciplines to discuss how a country that has been consistently presented as a rarity in Latin America provides critical examples to re-examine major historical problems: republicanism and liberalism; export economies and agrarian modernization; populism and cultural politics of state fo...