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Avis et commentaires pour d'étudiants pour Sequences, Time Series and Prediction par

4,479 évaluations
711 avis

À propos du cours

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Meilleurs avis


6 juin 2020

I really enjoyed this course, especially because it combines all different components (DNN, CONV-NET, and RNN) together in one application. I look forward to taking more courses from


3 août 2019

It was an amazing experience to learn from such great experts in the field and get a complete understanding of all the concepts involved and also get thorough understanding of the programming skills.

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551 - 575 sur 711 Avis pour Sequences, Time Series and Prediction

par Saikat M

16 mai 2020

New techniques were learnt regarding how to create a time-series signal and how they can be manipulated for forcasting and feeding to DNN networks.

par Parth A

11 août 2019

A good intro course to time series prediction. Would have loved some more data analysis and other time series methods like ARIMA and seasonal ARIMA

par Ruben Y Q

6 mai 2020

course is good but it dont get deeper on using things like multivariate time series, in addition the course practice materials where kind of lax

par Jesse

12 août 2019

A little bit too simple cuz it only covers univariate time series practice. Would be better if there's more multivariate time series exercise.

par Dan R

13 mai 2020

I was really waiting to predict 100 data that was similar to sequence, that being said; this was a good introduction to time series analysis.

par Kartik P

5 oct. 2020

its a nice course but instead of using synthetic data, it would have been better if we use real-time datasets for our practice and learning.

par AMAN G

26 mai 2020

The programming exercise should not have been optional. But overall, this was an amazing course. A thumbs up from my side. Thanks a lot.

par Ruben A M

9 sept. 2020

A lot of typos and I felt that making the Graded Exercises instead of Non Graded is a much better experience for us the students.

par Erik J J D B

19 juil. 2020

Good and easy to follow course to learn tensorflow. You need a background on Machine Learning to fully benefit from this course.

par DING T K

12 févr. 2021

It is nice in introduction to the use of TF in time series. But a bit difficult in the code which without detail explanation.

par Duncan B

29 avr. 2021

I think this is a helpful introduction. It would have been helpful to delve into some multivariate sequence data examples.

par Guillermo B

2 avr. 2021

It would be great if the projects at the end of each week were graded. They were easily solved using that week lesson.

par Thomas B

11 avr. 2020

This is the best course of the specialization. You learn about applying DNN, RNN, LSTM and CNN to time series data.

par Itamar d P R F

20 juil. 2020

Great Course, enlights you were you should head. Although, it missed some further explanation of the steps used.

par Lorenzo N

20 janv. 2022

G​reat course! It would have been nice to teach something about multivariate time series forecasting as well

par Nikhil K

8 juil. 2020

Have to complete Andrew Ng's Deeplearning as this is very basic course on top of that for time series data.

par Advay M

17 nov. 2020

add more videos to clear deep understanding of time series and more graded practical assignments too...

par Muthu R P E

11 déc. 2019

Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.

par AasaiAlangaram

13 déc. 2019

Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.

par Ankur Y

13 mars 2020

There should have been a multivariate Time series example in this course, Otherwise it was great

par Michalis F

1 oct. 2019

overall good... but was expecting a bit more of it , being the last course in the specialization

par Manish G

22 août 2019

Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!

par Igor B

18 mars 2020

Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."

par Saeif A

24 août 2019

I wish there was graded assignment as the quizzes are shallow and not enough to practice.

par Javier A

30 sept. 2020

I would add some code assestments and challenges as requested for the previous courses.