Chevron Left
Voltar para Introduction to Trading, Machine Learning & GCP

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

4.0
estrelas
716 classificações
191 avaliações

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

MS

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.

AJ

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.

Filtrar por:

76 — 100 de 192 Avaliações para o Introduction to Trading, Machine Learning & GCP

por Roberto R

9 de jan de 2020

Great start material for ML and Cloud Computing

por MOUAFEK A

26 de jan de 2021

Amazing Course and content. Thank you =)

por praburam u

2 de set de 2020

good course but not much of programming

por Michael B J

17 de mai de 2020

The Instructors were spot on!!! Thanks!

por nneoyi a

20 de jul de 2020

A key course for the next generation.

por Steve H C F

16 de jan de 2020

Good intro to ML and using GCP.

por Muhammad M

20 de dez de 2020

very informative nad helpful

por Branderson J A C

13 de set de 2021

Excelente , muy interactivo

por Seshadri S K

13 de jan de 2020

Great course with Basics

por Donkoo J

24 de mai de 2020

Very good to learn GCP

por Juan R M O

9 de jan de 2020

A lot of possibilities

por Ronny F

20 de jan de 2021

This is very useful.

por Robin M

22 de nov de 2021

Very enlightening!

por Azip S

24 de dez de 2020

Excellent training

por Leonardo A

22 de dez de 2020

Really good course

por J G

2 de mar de 2020

good course

por Gregory G J

23 de jan de 2021

Thumbs Up!

por LiengPhu T

26 de jun de 2021

good

por Marcin G

6 de fev de 2021

Ql

por Andrei L

16 de abr de 2020

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

por Jair R

2 de jun de 2020

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.

por Jakub K

28 de ago de 2020

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.

por Angelo M

25 de jul de 2021

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.

por Carlos V

19 de jan de 2020

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

por Ramzy K

15 de jan de 2021

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.