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Отзывы учащихся о курсе Sequences, Time Series and Prediction от партнера

Оценки: 4,525

О курсе

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....

Лучшие рецензии


6 июня 2020 г.

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


21 мар. 2020 г.

Really like the focus on practical application and demonstrating the latest capability of TensorFlow. As mentioned in the course, it is a great compliment to Andrew Ng's Deep Learning Specialization.

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251–275 из 716 отзывов о курсе Sequences, Time Series and Prediction

автор: Oscar D D L T

25 авг. 2020 г.

Excelente curso muy buen contenido y ejercicios muy intersantes y explicativos

автор: Mohammad F

13 июня 2020 г.

This specialization is a great complement to the Deep learning specialization.

автор: Victor C

26 янв. 2020 г.

after andrew's course, this course is really helpful for learning a new tool

автор: Aman A

6 дек. 2019 г.

Very well designed course. This course helped me to quickly pickup Tensorflow.

автор: George M

22 янв. 2021 г.

Enjoyed the approach to introducing us into the time series prediction ideas.

автор: Tina H

12 мая 2020 г.

Well designed with steps reasonable to learn new information with confidence.

автор: Kiran S N

23 апр. 2020 г.

The Course is amazing.this course has helped to use forecasting in Tensorflow

автор: Hemant Y

6 июня 2020 г.

Exactly what I want to learn in forecasting time series in a meaningful way.

автор: Antti R

8 нояб. 2019 г.

Very nice collection of useful tools for machine learning and deep learning.

автор: Haoran C

11 сент. 2019 г.

Conv3D may be another good tool for prediction of sequences and time series.

автор: Francesco F

19 февр. 2022 г.

Very complete practice. Perfect Complement of Deep Learning Specialization.

автор: majid h

15 мая 2020 г.

I am a CS ph.D. student. It helped me a lot in predicting time series data.

автор: Akhil K

11 окт. 2019 г.

It is a very good ready to go and really a practical example driven Course.

автор: Aditya B

21 дек. 2020 г.

Very good and insightful! Thank you for delivering this practical course!!

автор: Parma R R

30 янв. 2022 г.

Such an amazing journey! Thank you Mr. Laurence Moroney and Mr. Andrew Ng

автор: Nitin K M

30 дек. 2019 г.

The courses are well oriented and give a good introduction to TensorFlow.

автор: Royce R R M

6 нояб. 2020 г.

its an awesome course that explains a lot of the NN used for time series

автор: Alejandro F

30 апр. 2020 г.

Oh this course was a delight. I had so much fun and learned quite a lot.

автор: Dipak R R

8 апр. 2020 г.

One of the best course I have seen, code is well explained line by line.

автор: Roozbeh G

17 окт. 2019 г.

Short, effective, and practical. Some of the best material in the field.

автор: Alan F T

10 окт. 2020 г.

Excellent course with real practical examples and great walk throughs.

автор: Mostafa G

5 авг. 2019 г.

Excellent course to take after completing Deep Learning Specialization

автор: Fabiana C R

13 февр. 2021 г.

Good course. I just wished they would cover multivariate time series.

автор: Thar H S

18 июня 2020 г.

It really simple and useful for my career. Thank you for teaching me.

автор: Abhiram V

1 мар. 2020 г.

The content and visualization helps to understand the problem so well