- De www.coursera.org
Python and Machine Learning for Asset Management
- Individualizado
- Acesso livre
- Certificado pago
- 5 sequências
- Intermediate Level
Detalhes do curso
Programa de Estudos
WHAT YOU WILL LEARN
- Learn the principles of supervised and unsupervised machine learning techniques to financial data sets
- Understand the basis of logistical regression and ML algorithms for classifying variables into one of two outcomes
- Utilize powerful Python libraries to implement machine learning algorithms in case studies
- Learn about factor models and regime switching models and their use in investment management
Pré-requisito
Learners taking this Course are
- Financial Analysts
- Data Scientists
- Consultants
- Data Analysts
- Engineers
Instrutores
John Mulvey - Princeton University
Professor in the Operations Research and Financial Engineering Department and a founding member of the Bendheim Centre for Finance at Princeton University
Finance
Lionel Martellini, PhD
EDHEC-Risk Institute, Director
Finance
Editor
Implantée à Lille, Nice, Paris, Londres et Singapour, l'EDHEC est l'une des 15 meilleures écoles de commerce d'Europe. Résolument internationale et directement connectée au monde des affaires, elle est reconnue pour l'excellence de sa recherche et sa capacité à former des entrepreneurs et des managers capables de faire bouger les lignes.
Véritable laboratoire d'idées, elle produit des solutions innovantes reconnues par les entreprises. Ses travaux de recherche irriguent son enseignement fondé sur la culture du «build people to build business» et du « learning by doing ».
Plataforma
A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.
O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours