The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.
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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Certificado para compartir
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100 % en línea
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Nivel intermedio
Aprox. 18 horas para completar
Inglés (English)
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. 18 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
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Fundamentals of Supervised Learning in Finance
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9 videos (Total 71 minutos), 4 lecturas, 1 cuestionario
4 horas para completar
Core Concepts of Unsupervised Learning, PCA & Dimensionality Reduction
4 horas para completar
6 videos (Total 54 minutos), 3 lecturas, 1 cuestionario
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Data Visualization & Clustering
4 horas para completar
7 videos (Total 50 minutos), 3 lecturas, 1 cuestionario
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Sequence Modeling and Reinforcement Learning
5 horas para completar
11 videos (Total 101 minutos), 3 lecturas, 1 cuestionario
Reseñas
Principales reseñas sobre FUNDAMENTALS OF MACHINE LEARNING IN FINANCE
por JJ24 de dic. de 2018
So far so good. The lecturer refers to projects of which some weren't covered in this course. So a little confusing. Takes lots of googling to finish this course.
por AT9 de ago. de 2019
Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.
por AT2 de sep. de 2019
Great course which covers both theories as well as practical skills in the real implementations in the financial world.
por SD18 de sep. de 2019
This is a great course, I strongly recommend. However, the assignments take a while to finish.
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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