Excellent! But, I am missing some of the prerequisites since I just wanted to take a chance and try things out, but feel like proceeding further might lead to some stumbling blocks.
I thought this was excellent. Some familiarity with standard SQL is needed to get the most benefit from the materials, and the course is clearly aimed at GCP users.
by praburam u•
good course but not much of programming
by Michael B J•
The Instructors were spot on!!! Thanks!
by nneoyi a•
A key course for the next generation.
by Steve H C F•
Good intro to ML and using GCP.
by Muhammad M•
very informative nad helpful
by Branderson J A C•
Excelente , muy interactivo
by Seshadri S K•
Great course with Basics
by Donkoo J•
Very good to learn GCP
by Juan R M O•
A lot of possibilities
by Ronny F•
This is very useful.
by Azip S•
by Leonardo A•
Really good course
by J G•
by Gregory G J•
by LiengPhu T•
by Marcin G•
by Andrei L•
I can only agree with previouss comments:
1) Overall Ok as an introductory course
2) Week 4 should be week 1
3) Week 4 videos are somewhat disjoint and by the references they make are clearly just fragments of other courses.
4) Concepts used in labs should be explained a bit better beforehand
5) Each lab should have a at lease one concrete try-this followed by an explanation of why the result is different, better or worse
by Jair E R L•
The course provides valuable content. It requires more than Python fundamentals in some topics, but it is ok because the student must investigate out of the course's material.
There is an emphasis on Google's tools, which are very interesting, but the course should be more agnostic on this matter in order that the student has wider spectrum of resources available.
by Jakub K•
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.
by Angelo M•
The first module has a lot of specific knowledge of the financial market that it would not be easy to gather by conducting an extensive internet search. I realized that the professors have an excellent experience in the financial market, which greatly improves the final quality of the course.
by Carlos V•
Good course on the applications of ML to stock trading, examples are quite nice and the labs provide explanations on how to utilize the ML libraries available, recommended for anyone interested on more time-series type of analysis and ML
by Ramzy K•
Very good intro to trading, despite the confusion from having multiple lectures collected from different courses, because they keep mentioning resources in the videos that doesn't relate to this course.
by Lucas R A•
Good introduction to quant theory and ML, labs could be a lot better though, they lack proper explanations and don't cover some of the basics necessary to complete them.
by Debashish D G•
The lectures appear to jump around a bit. Looks like it was stitched together from different places. So the course lacks a continuity I have seen in other courses.
by Piero R•
It's a good course, but the volume is TOO LOW, and they don't go into detail in the programming phase for python. but it's good overall.