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

Оценки: 4,242
Рецензии: 678

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

3 авг. 2019 г.

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.

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

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276–300 из 679 отзывов о курсе Sequences, Time Series and Prediction

автор: Rishabh R

17 июля 2020 г.

Amazing specilization!! Completely satisfied with this course

автор: Karthikayan M

30 мая 2020 г.

Exceptional Course for practical Experience in Deep Learning!

автор: Cassandra d C

27 авг. 2020 г.

Finally got to see real data in action which was super cool.

автор: Ahmet K

30 дек. 2019 г.

Easy to learn and follow, thanks guys. Thank you coursera...

автор: Tyler L

8 дек. 2019 г.

Great start for anyone with an interest in machine learning!

автор: kevin C

10 авг. 2019 г.

Thanks for the lesson for me to learn more about Tensorflow!

автор: Sujit M

19 окт. 2020 г.

Great course for applying RNN to sequence, time series data

автор: Viswanadh K

8 июля 2020 г.

Thank u Laurance sir..for giving a clear view on TensorFlow

автор: Stewart A

4 авг. 2019 г.

Really cool course. Great material. Great presenter. Enjoy!

автор: AMIT S

13 июня 2021 г.

Good to learn working with time series and its prediction.

автор: Harsha G

6 мая 2020 г.

Great way to learn a complex subject .. thank you Laurence

автор: Fernanda L V

8 мар. 2020 г.

Instructors are really good! Really recommend this course!

автор: Laura U

4 янв. 2020 г.

Love it. Thanks Laurence for making the course accessible.

автор: Akshaykumar S

18 сент. 2020 г.

Great course for introduction to time series modelling !

автор: Rishikesh R

8 сент. 2020 г.

Laurence Moroney is the perfect teacher for this course

автор: Onuigwe V

12 июля 2020 г.

An interactive and practical course. Excellence course!

автор: Gal I

17 апр. 2021 г.

Where can i find a course on multivariate Time Series?

автор: Vinh T

14 июня 2020 г.

Thank you very much. The course is very useful for me!

автор: Xin H

15 апр. 2020 г.

Good chance to improve the understanding of Tensorflow

автор: Bandelier L

28 нояб. 2019 г.

Great to finally confidently apply ML to Time series !

автор: Sayak P

30 янв. 2021 г.

This one of the best courses by Laurence. Hands down!

автор: 김민규

22 янв. 2021 г.

한글 자막이 구글 번역기 수준이지만 알아들을 수 있는 단어들만 쓰셔서 학습에는 지장이 없습니다.

автор: Jaime C

21 янв. 2020 г.

Excellent, an interesting and practical point of view

автор: Бибик М В

1 февр. 2021 г.

VERY good course, interesting material, best teacher

автор: Bhavesh W

1 авг. 2020 г.

Lawrence is amazing tutor with self explaning slides