Succinct and great explanation of deep reinforcement learning methods with amazing demo lab scripts

It's Intensive and Inclusive, but please make sure all labs work smoothly.

This content really is ahead of the Business As Usual.

Congrats!

Need more time to finish the ML model

Muy buen curso.!

perfect!

Provide the idea and method of RL for trading, but seems like less practice knowledge for the trading. hope can add more detail for for the trading build up. overall the course are good.

Great course, exactly what I was looking for! But there were some technical difficulties on practical tasks ...

I look forward to examples of integration of decision based on reinforcement learning and algo-trading logic

A touhg and very advanced course, with an amazing Google Cloud Platform !!!!

Nice with the RL classes, it is a bit random.

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.

It is geared more towards people who already have an understanding of the stock market and its lingo. Not much information about stock market lingo for a beginner.

Lab is obsoleted... and the practice doesn't give you any advice and the packages doesn't work due are very old or not anymore mantainance

While there were a lot of interesting concepts in this course, I didn't feel that I learned a lot from it and certainly was nowhere near implementing what I wanted to. It pushes Google's cloud services so you're on your own if you want to program on your own computer. I've since completed a course by deeplearning.ai (not trading focussed) which I felt was a lot better, I learned a lot of theory to develop an understanding of what they're teaching as well as practical coding assignments that I felt I could actually take the code and apply to my own projects.

Google pushes its ability to learn from BigData but I really don't consider stock data to be BigData, at least if you're processing a single instrument/currency/stock at a time. If you're trying to go down to tick level data then you're going to have more problems with lag and execution making processing that amount of data a bit pointless... unless that's really really what you want/need to be doing.

To be fair to this course, it is good to know what is out there should it be suitable for your challenges and yeah, they can process a massive, huge, gigantic amount of data very quickly.

Most labs codes had errors and could not even load data. Unable to practice with labs like that.

Few financial applications. RL is a complex notions. Exerices are too difficult.

not really make me statisfied

The labs are horrendously bad and out of date. There are "guard rails" in place regarding the API's that can be used when working on a lab in the GCP environment. If you step outside of your restricted area, which is really easy to do since the directions don't match the current GCP UI, your account is disabled. I had this happen multiple times when trying to complete the labs. There is some good content in the specialization - minus the GCP stuff. I wish it went into more depth in regards to trading and system creation. This could be a really good class.

Google Cloud Content is outdated, instructions are all wrong.