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Advances in Heterocyclic Chemistry 1963-2019

06/07/2020 Learning for Life Leave a Comment

Advances in Heterocyclic Chemistry 1963-2019
English | Size: 760.06 MB
Category: Tutorial

Heterocyclic Chemistry is of the utmost practical and theoretical importance. Heterocyclic compounds are used in pharmaceuticals, dyes, pesticides, herbicides, plastics, and for many other purposes. The industries producing and researching into these products providing employment for a large fraction of organic chemists. On the theoretical side, heterocyclic chemistry provide a host of interesting concepts and structures. The subject is often deprived of the importance it deserves. It is possible to attend graduate school of some of the most prestigious universities without ever having attended a lecture course dealing specifically with heterocyclic chemistry. The series Advances in heterocyclic Chemistry was commenced in 1963 to attempt to provide a medium in which up-to-date results in the subject could rapidly be presented to a wide audience. The series has aimed to make available to graduate students and research workers in academic and industrial laboratories up-to-date reviews on wide variety of heterocyclic topics. Over the past 40 years 84 volumes of the series have been published and together they form a very substantial database covering wide areas of heterocyclic chemistry. Together with "Comprehensive Heterocyclic Chemistry" of which the first edition was published in 1985 and the 2nd in 1999 we now provide vast amounts of information on a subject which continues to gain in importance and to expand. [Read more…]

Engineering & Science 1963, 2019, Advances, Chemistry, Heterocyclic

Marcos Lopez de Prado – Advances in Financial Machine Learning

10/07/2018 Learning for Life Leave a Comment

Marcos Lopez de Prado – Advances in Financial Machine Learning
English | Size: 414.46 MB
Category: Tutorial


Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular 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. [Read more…]

Economics & Finances Advances, Financial, Learning, Machine, Marcos Lopez de Prado

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