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

3.6
198 個評分
82 個審閱

課程信息

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....

熱門審閱

創建者 AB

May 28, 2018

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

創建者 LB

Aug 19, 2018

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

篩選依據:

70 個審閱

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 Yangtao WANG

Dec 02, 2018

very good course!!!

創建者 GUILLERMO ROSALES JARAMILLO

Nov 29, 2018

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

創建者 Pavel Konovalov

Nov 28, 2018

A very informative and well paced intro to ML / DL

創建者 Andreas Atle

Nov 21, 2018

Horrible labs

創建者 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)

創建者 Vinay Prasanth Kamma

Nov 20, 2018

good content