What are the most significant machine learning advances in 2017
    Hard to believe that it's only been a year So much has happened in the world of AI and machine learning that it is hard to fit in a single answer. Here is my attempt . Don't expect too many details, but do expect a lot of links to follow up on t
    Wiley-VCH - Advances in Financial Machine Learning
    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 
    2016-2017 Machine Learning Advances and Applications Seminar
    This seminar series is the first formal gathering of academic and industrial data scientists across the Greater Toronto Area (GTA) to discuss advanced topics inmachine learning. The seminar meets from noon to 2:00 pm every other Thursday with the goal of building a stronger machine learning community 
    Data Mining & Machine Learning in Finance - LONDON FINANCIAL
    The popularity of data science techniques such as data mining and machinelearning has grown enormously in recent years. They present effective solutions to process and analyze the huge amount of data available to risk managers andfinancial analysts. With the advances in computing power and distributed processing, 
    Machine learning with Marcos López de Prado - KNect365
    In order to beat the market, an investor needs to apply more advanced technologies than the market's standard. On the other hand, machine learning methods are able to recognize complex patterns, and have been successfully used in difficult problems, like face and speech recognition, natural language 
    Advances in Financial Machine Learning (Chapter 1) - Quant News
    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.
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    most read publications in Finance - Marcos M. Lopez de Prado
    I have been fortunate enough to meet and work extensively with some of the leading figures in Pure Mathematics, Mathematical Finance, Machine Learning, Market Microstructure and Econometrics. The majority of our findings are kept proprietary. From time to time, however, we decide to publish some of them, hence the 
    Financial Services - Advanced Analytics with Kinetica
    In an industry where milliseconds matter and where insight directly equates to money, machine learning, deep learning and faster analytics offer a distinct competitive advantage. Kinetica makes it possible for financial organizations to derive insights and make predictions from vast volumes of complex and streaming data in 
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    Buy Advances in Financial Machine Learning 1 by Marcos Lopez de Prado (ISBN : 9781119482086) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.
    Advances in Financial Machine Learning: Marcos  - Amazon.ca
    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 
    Advances in Financial Machine Learning by Marcos Lopez de Prado
    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 
    Machine Learning For Financial Engineering (Advances in
    Machine Learning For Financial Engineering (Advances in Computer Science and Engineering: Texts) by Laszlo Gyorfi (2012-05-16) on Amazon.com. *FREE* shipping on qualifying offers.