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Portfolio Construction with Robust Covariance (PC)
Market Prediction with Machine Learning (ML)
Trading Strategy Design & Backtest (AB)
Pricing Credit Spread (CR)
Interest Rate Modeling for Counterparty Risk (IR)
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What is Machine Learning?
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Nvidia defined machine learning as the ‘most basic’ practice of utilising algorithms in order to parse data and gain adequate knowledge to determine or rather make accurate predictions about future occurrences. This is an approach that trains the computers and enhances software to act just like a highly intelligent human mind. The experiences are accumulated to get more refined outcomes. In an interesting manner, the errors are never repeated and are used to improve the process of statistical analysis.
A person who understand machine learning, will understand its increasing demand in the modern technological work. Itsvalue has increased manifold to make all kinds of assessments and predictions to gain more knowledgeable futuristic information. It is the only way of preventing an unpredictable act in future and make the actions more worth the contribution. As it can learn even from huge data sources without depending on any rule oriented programme, its significance in finance had attained new heights. Thus, it is the need of our computer systems to offer precise results based on learnings attained through its experiences.
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Machine Learning October 2019 Cohort
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The Machine Learning October 2019 Cohort, at Machine Learning Institute Certificate in Finance (MLI) will be entitled with the latest and extensive modules, to meet the current and future challenges of quantitative finance. With global online facility, the MIL aims to offer6 months part-time courses in 2 levels. There will be 6 modules with 25 lecture weeks. The candidates will be facilitated by lab assignments and practical project.
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Machine Learning Algorithms
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