This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.
Este curso forma parte de Programa especializado: Machine Learning and Reinforcement Learning in Finance
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Acerca de este Curso
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Nivel intermedio
Aprox. 24 horas para completar
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Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 24 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
New York University
New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.
Programa - Qué aprenderás en este curso
3 horas para completar
Artificial Intelligence & Machine Learning
3 horas para completar
11 videos (Total 75 minutos), 3 lecturas, 1 cuestionario
6 horas para completar
Mathematical Foundations of Machine Learning
6 horas para completar
6 videos (Total 45 minutos), 3 lecturas, 2 cuestionarios
6 horas para completar
Introduction to Supervised Learning
6 horas para completar
7 videos (Total 75 minutos), 4 lecturas, 2 cuestionarios
10 horas para completar
Supervised Learning in Finance
10 horas para completar
9 videos (Total 66 minutos), 4 lecturas, 3 cuestionarios
Reseñas
- 5 stars41,54 %
- 4 stars24,01 %
- 3 stars13,42 %
- 2 stars10,90 %
- 1 star10,11 %
Principales reseñas sobre GUIDED TOUR OF MACHINE LEARNING IN FINANCE
por MS31 de dic. de 2018
Despite all the problems with the assignments and the grader this course provides really good overview ML tools and their application to finance. It's definitely worth the effort
por LP22 de oct. de 2021
Very useful course. Personally, I think that there should have been more focus on the implementation of tensorflow and neural network codes. Overall the course is well structured and very clear.
por CO18 de abr. de 2019
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
por HK17 de ene. de 2020
Great general overview of machine learning. I think the course can be re-organized to incorporate some of the theory and some coding tips as well, however.
Acerca de Programa especializado: Machine Learning and Reinforcement Learning in Finance
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance.
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