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Voltar para Introduction to Trading, Machine Learning & GCP

Comentários e feedback de alunos de Introduction to Trading, Machine Learning & GCP da instituição Google Cloud

773 classificações

Sobre o curso

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)....

Melhores avaliações


29 de jan de 2020

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 de nov de 2020

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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151 — 175 de 203 Avaliações para o Introduction to Trading, Machine Learning & GCP

por rohit s

27 de jul de 2020

A decent introduction but with minimal hands on learning. Most of the initiative is on the student to learn about and apply the topics described here. Also tends to promote GCP a lot.

por Shekhar K

2 de jun de 2020

The course seems incomplete or not organized well. The concepts come and go out of nowhere. I knew lot of concepts beforehand and could figure out, but it was very fragmented.

por Kelvin C

1 de set de 2020

The course is loosely organized. Some of the concepts in lab have not been gone through in the lecture. Anyway, the lectures presented by Jack is good.

por Andreas W

26 de set de 2020

Theory of the financial part was interesting. "Coding" part was more or less running some fully implemented scripts from a github repository.

por Rustom F

30 de jan de 2020

The course seems to be more focused on advertising google cloud platform and there is hardly any focus on how to use ML or AI for trading.

por Michail A

26 de mai de 2022

Good introduction but would be better served with labs that force you to code more rather than do execute pre-existing commands

por 欧阳坤

21 de jan de 2020

Too layman. NO real ML techniques for real trading, just some intro that you can easily find on stackoverflows or something.

por Rafiul H N

2 de jun de 2020

The course was great from Google's point but from the "New York Institute of Finance", it was confusing and not helpful.

por Pranesh

5 de mai de 2020

I expected to understand how we'd interact with the exchanges and then run mdeols in realtime for trading outcomes

por Pranav K S

26 de jan de 2020

This is a good introduction course, fourth week completely different or not aligned with course title.

por Константин К

31 de ago de 2020

So many words in that course and so little knowledge. For me, it was wasting time on 80%.

por Angelos L

20 de mar de 2020

Nice theory very poor explaining in application not very useful to make you build a model

por Steve W

28 de dez de 2019

Some good parts, but several sections were cobbled together from other courses I've taken

por Hilmi E

1 de fev de 2020

The relationship between these three topics are somewhat loosely presented..

por Andy M

4 de ago de 2021

I would like to see more specific coding examples for trading strategies.

por andy

20 de mar de 2021

its ok but too elementary while not having more konwledge on finance side

por Animesh

18 de jan de 2020

Not much learn from them, but whatever is there it's good.

por JL B

11 de jan de 2020

Material sometimes seems like a patchwork in random order.

por Juan J M C

27 de dez de 2020

some videos are from other courses.. not exist practice

por Joe M

1 de abr de 2020

Good intro to concepts. Labs could use more thought.

por Alain T

4 de abr de 2020

Good Introduction to Time Series, ML and GCP!

por Sam F

3 de jan de 2020

Had I not read another book on ML, I probably wouldn't understand a lot of material covered here. The course might be a good recap if you already know the material. However for someone who is new to ML, the videos just dumps a lot of definition on you without real explanation in layman term. I ended up having to go to other YouTube videos for explanation.

por Bartłomiej N

14 de nov de 2021

Course is OK but one of the labs is broken and the provided commands don't work and other one has a jupyter notebook with use of outdated python library for ARIMA and it doesn't work with new version

por Oleksandr S

2 de fev de 2020

The course gives you a very limited introduction to ML for trading. More examples of time series models, basic trading strategies, use of ML methods etc are needed.

por Adrien S

28 de out de 2020

The course was ok but a bit disjointed, especially week 4 which felt like it was "cut-and-pasted" into the course from other courses and didn't have much cohesion.