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Вернуться к Introduction to Trading, Machine Learning & GCP

Отзывы учащихся о курсе Introduction to Trading, Machine Learning & GCP от партнера Google Cloud

Оценки: 726

О курсе

In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....

Лучшие рецензии


29 янв. 2020 г.

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.


20 нояб. 2020 г.

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.

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101–125 из 195 отзывов о курсе Introduction to Trading, Machine Learning & GCP

автор: Ramzy K

15 янв. 2021 г.

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.

автор: Lucas R A

3 июня 2020 г.

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.

автор: Debashish D G

5 мая 2020 г.

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.

автор: Shailendra k v

18 янв. 2022 г.

Good material... Assignment are very helpful. Flow is bit choppy specially for ML parts. It switches from simple to advance topic rather randomly.

автор: Piero R

11 мая 2020 г.

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.

автор: Samuel T

15 янв. 2020 г.

Some of the content in Week 4, might be better placed earlier in the course. Other than that it was a great learning experience.

автор: Martin L

14 июля 2021 г.

Even are more basic knowledge of Trading and ML, still with specific data relative Trading and finance, Great!

автор: Benjamin P

4 апр. 2020 г.

Not as much coding as I would have wanted, or atleast exposure to code. Very solid historical context though.

автор: VICTOR T

9 авг. 2022 г.

Pretty basic concepts, although being titled as "Introduction" it does what it is supposed to do. Good job.

автор: Mike M

19 апр. 2020 г.

Pretty great course. Sometimes there was too much detail and other times not enough but overall I loved it.

автор: Brian B

8 апр. 2021 г.

Was pretty good. Would be nice to have some links to resources on BQML specific query language.

автор: Soren B

21 апр. 2020 г.

Good intro. Could use some additional work on the ARIMA model lab on tuning the parameters.

автор: Anirban S

19 янв. 2020 г.

Introduces concepts in a lucid way albeit depending on some prerequisite knowledge at times.

автор: Alejandro A S

14 июля 2020 г.

the course is not very organized, the material presented are not clever in order

автор: Andrey S

23 июня 2020 г.

Shortage of practice but good for learning something new about stock markets.

автор: Iskander R

6 июня 2020 г.

Good as introductory course. Looking forward for more in depth topics. Thanks

автор: Alvar S I

4 сент. 2020 г.

Muy bueno por conjugar muy bien el mercado de capitales con la programación

автор: Sergio G

26 апр. 2020 г.

Easy to follow. It lacks of a more applied number of examples and cases.

автор: Ocin L

10 апр. 2020 г.

More explanation on the lab and the function being use would be great!

автор: Yip Y C

9 мая 2020 г.

Course content should include more practical in each section

автор: RENATO V M S

2 июля 2021 г.

Nice course but showing only the peak of the GCP iceberg!!!

автор: Kong

1 янв. 2021 г.

Overall good experience. But first lab is confusing.

автор: domenico r

13 апр. 2020 г.

I was expecting more coding on python

автор: Robin L

21 дек. 2020 г.

please add more hands-on lab

автор: Wolfgang B

4 мая 2020 г.

Yes. Introduction level.