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Volver a Guided Tour of Machine Learning in Finance

Guided Tour of Machine Learning in Finance, New York University Tandon School of Engineering

3.6
199 calificaciones
82 revisiones

Acerca de este Curso

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. The goal of Guided Tour of Machine Learning in Finance is to get a sense of what Machine Learning is, what it is for and in how many different financial problems it can be applied to. The course is designed for three categories of students: Practitioners working at financial institutions such as banks, asset management firms or hedge funds Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course....

Principales revisiones

por AB

May 28, 2018

Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!

por LB

Aug 19, 2018

Audio could be better. Low recording volume makes it difficult to listen sometimes.

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70 revisiones

por Vitalii Antoniuk

Dec 10, 2018

Not very related to finance plus most of the tasks are easy to complete, but hard to understand what needs to be done.

por Pedro Manuel Herrero Vidal

Dec 06, 2018

Potentially great course with bridges technology (machine learning methods) and application (finance), but as for now it is really rough around the edges. Still needs to improve in terms of video lectures, resources and assignments; but once polished it could be a great course/specialization.

por maciej.osinski

Dec 06, 2018

The lecture is actually good. The positive experience is totally ruined by the quality of programming assignments though. As someone put it on course forum - they seem as if someone built a poor implementation with odd design choices in rush, then deleted a couple of random lines and asked students to read his/her mind. Not sure if I'll continue the specialization now.

por Leo Mizuhara

Dec 02, 2018

One of the worst courses I've taken on Coursera. These courses really need to be tested before put out for public consumption.

por Yangtao WANG

Dec 02, 2018

very good course!!!

por GUILLERMO ROSALES JARAMILLO

Nov 29, 2018

Excellent Course, Professor clases are good complement for other ML courses.

por Pavel Konovalov

Nov 28, 2018

A very informative and well paced intro to ML / DL

por Andreas Atle

Nov 21, 2018

Horrible labs

por Vincent Gatineau

Nov 20, 2018

Content of the class is really good but technology/support is deplorable (Had to wait 3 weeks before the assignments got fixed by the support staff)

por Vinay Prasanth Kamma

Nov 20, 2018

good content