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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

4.0
звезд
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

MS

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.

AJ

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.

Фильтр по:

151–175 из 195 отзывов о курсе Introduction to Trading, Machine Learning & GCP

автор: Rafiul H N

2 июня 2020 г.

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

автор: Pranesh

5 мая 2020 г.

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

автор: Pranav K S

26 янв. 2020 г.

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

автор: Константин К

31 авг. 2020 г.

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

автор: Angelos L

20 мар. 2020 г.

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

автор: Steve W

28 дек. 2019 г.

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

автор: Hilmi E

1 февр. 2020 г.

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

автор: Andy M

4 авг. 2021 г.

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

автор: andy

20 мар. 2021 г.

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

автор: Animesh

18 янв. 2020 г.

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

автор: Jean-Luc B

11 янв. 2020 г.

Material sometimes seems like a patchwork in random order.

автор: Juan J M C

27 дек. 2020 г.

some videos are from other courses.. not exist practice

автор: Joe M

1 апр. 2020 г.

Good intro to concepts. Labs could use more thought.

автор: Alain T

4 апр. 2020 г.

Good Introduction to Time Series, ML and GCP!

автор: Sam F

3 янв. 2020 г.

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.

автор: Bartłomiej N

14 нояб. 2021 г.

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

автор: Oleksandr S

2 февр. 2020 г.

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.

автор: Adrien S

28 окт. 2020 г.

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.

автор: Alexander K

31 янв. 2022 г.

Course may have some interesting instruction but about half of it is an elaborate advertisement for unnecessary google products. Not worth it.

автор: Jonathan S

13 сент. 2020 г.

Actual programming was nonexistent, the assignments just had you run already-written jupyter notebooks

автор: Michael K

23 янв. 2020 г.

Lacks depth of most topics , too brief of an introduction

автор: Yaron G

22 июня 2020 г.

Not sure it is good material for real tradings bots

автор: Harshit M

12 июня 2020 г.

No labs or quizzes for auditing students

автор: Guillermo B

7 авг. 2020 г.

Very few real practical exercises.

автор: Atif H

16 июля 2022 г.

too basic.