Some confusions in the quiz questions. Maybe it would be worth to review/ reformulate questions to make them clearer and more understandable. Some parts in the training are long “monologues”. It would be nice to add mode explicative slides concerning the discussed topic (less boring and better memorization for students).

I learned a few cool things. The main problem with this specialization is that the Machine Learning Stuff and Finance stuff are really separated (Google, NY univ). What I was looking for is the place where two concepts meets. Also i felt like ML stuff went too deeply too fast. Still... Cool Introduction.

I really like the material but the Google platform had bugs. I don't think I got as much out of it as I would have liked. The concepts of the course are great and if they can fix the technical issues I encountered, it would be a really great learning vehicle. As it stands, it is a work in progress.

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). Good potential, it would have been better if it was accompanied with more lecture content.

A lot of useful information but theory practice are quite disjoint. Code examples in the last video in section 2 along with non-clickable links are disappointing. In general the course is OK but could be done much better.

Teaching was really good. Grading could have been better if assignments are properly graded before providing the certificate. One can simply go to assignment and without any updates, is marked as complete.

they taught about the principle and all the stuffs but didn't make me comfortable to code.And this made me little bit dis-satisfactory with the course

The course contents need to be updated and the students need to be working on editing the codes rather than just merely executing it.

The lectures are very interesting but look very uncorrelated with the activities. Looks like it is unfinished.

Good material; packaging and presentation could be improved

God informative course! Some packages are not updated

Feels very rushed.

Labs are not updated and some codes doesnt work, making the whole practical part USELESS. otherwise the course gives you good theorical knowledge.

The audio for every lecture is horrible. Especially the coding solution lectures. The lab assignments are not engaging and poorly executed. A very disappointing course

Excellent foundational material, although there is a large variation (Keras Functional API, for example).

I liked the material on deep neural networks and Kalman filters, but not so much the if-then-else backtesting approach in one of th Auquan sessions; machine learning is intended to help humans move away from hard-coding these sorts of decision rules (I think).

Overall, very good, with something for everyone.

This ML course gives you the necessary tools that will propel you to the new era of technology. Students get a hands on of the Google Cloud Platform as well as the nuts and bold and insight on trading technology nuances clearly delivered by the New York Institute of Finance.

very useful. Students could immediately practice on python with support code

of course it is complicate for someone have not learned about coding but we should spend more time to dig deeper to understand the code logic by another programing courses

Great course! Learned a lot! However, I would recommend to include more useful solution videos for the labs. You practically see someone run the code without explaining much about the solution and/or underlying strategy.

This is one of the best courses in Machine learning for trading ever. It takes you deep into Tensorflow applying it to different trading strategies. 100% recommended if you're into machine learning for trading!

Great content, nice speakers and interesting knowledge, the only issue I have are some of the labs are quite out of date with regards to libraries and APIs used, other than that it's great

Very Good Course, Rich in Material, Very useful.

Only some lab can not successfully functional. ( wihile downloading stock data )

Such a great course, the introduction(first part in specialization) was kinda useless for me, but this one is amazing.

Excelente curso. Se entiende el uso del Machine Learning en Trading y Finanza..!

Very Good! Basic strategies explored in depth and applied in coding labs.

Great course for the trading, clear structure and easy to understand.