Using Machine Learning in Trading and Finance
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| Rating | 3.3★ based on 19 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 5 hours per week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $79 |
| From | New York Institute of Finance, Google Cloud via Coursera |
| Instructors | Jack Farmer, Ram Seshadri |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business Programming |
| Tags | Data Science Business Machine Learning Finance |
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What people are saying
finance folks who worked
Expected better material for lab The lectures and labs were very good, thanks to all the Google and NYI of Finance folks who worked on them-1 star for not making ppt/pdf notes available (or did I miss the links???)
clicking shift + enter
One could basically get a very high grade just copying, pasting and clicking SHIFT + ENTER You will learn concepts of trading and machine learning.
other minor technical difficulties
IMO Aquan in the context to how it was deployed in this course is not a user friendly toolbox (aside from other minor technical difficulties).
work has occasional bugs
I does not go too much in details but you get a lot of insight about trading and using ML in trading strategies really good course to capture most ideas in machine trading The contents are not organized at all the lab work has occasional bugs that are clearly due to oversight.
high grade just copying
making ppt/pdf notes available
about 5 years old
The videos explaining the grading tools are also about 5 years old and have been recycled.
after taking 13 courses
Worst and most time-wasting courses after taking 13 courses here.
far below par
When it comes to the grading tools these are FAR below par.
section 2 along
Code examples in the last video in section 2 along with non-clickable links are disappointing.
auquan tutorials
Thanks for the introduction and access to all of the Auquan tutorials.
great crouse
Great crouse, with very focused material.
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| Rating | 3.3★ based on 19 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 5 hours per week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $79 |
| From | New York Institute of Finance, Google Cloud via Coursera |
| Instructors | Jack Farmer, Ram Seshadri |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business Programming |
| Tags | Data Science Business Machine Learning Finance |
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