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

Оценки: 4,519
Рецензии: 715

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


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.

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201–225 из 716 отзывов о курсе Sequences, Time Series and Prediction

автор: Pablo S

6 сент. 2020 г.

I learned new techniques and tools both to understand and apply artificial intelligence in my projects.

автор: Arisha A

28 июля 2020 г.

The course helped me in learning a lot of things about time-series data that I had no idea about before

автор: Xueming L

21 янв. 2020 г.

Thanks for the great course, it's very practical knowledge on how to use tensorflow to build up models.

автор: PIYUSH K

3 сент. 2020 г.

we are fortunate to have laurence as a instructor, i love the way he explains things, love this course

автор: Douglas A

5 авг. 2020 г.

Great introduction to TensorFlow! Looking forward to taking other specialisations from


5 сент. 2021 г.

It's really a must do course if you want to pursue your career in deep learning and machine learning

автор: Javier V Q

6 сент. 2020 г.

The progressive elaboration of explanations seems to me an excellent job. The course is really good.

автор: Kenechukwu N

10 сент. 2019 г.

This is a great course but I will advise taking Andrew's "Deep Learning Specialization" before this.

автор: Roman K

26 авг. 2021 г.

Really good course. The knowledge was presented in brief but clear and understandable way. GREAT :)

автор: Alan S

20 авг. 2019 г.

Fantastic course, I've been looking for guidance on Time Series with ML recently. And here you go!

автор: Hirenkumar G

5 сент. 2021 г.

It is a nicely organized course. I like to glide on leacture notes as well as exercieses on colab.

автор: Balaji S

14 сент. 2020 г.

This is the best, after completing i felt like need to take to more, really enjoyed while learning

автор: Mahdi P

13 авг. 2019 г.

I recommend it to those who want to start TS analysis with tf.keras. Lots of good stuff to learn.

автор: Oscar S D

6 мая 2020 г.

Excellent practice exercises, excellent content, excellent teachers, excellent length of videos.

автор: Govind M

20 февр. 2020 г.

It was amazing. Learnt lots of techniques and i am looking forward to learn more from this team.

автор: Steve K

7 дек. 2019 г.

Thank you very much Laurence!! These courses really really help me. I appreciate again so much.

автор: Ramji B

12 февр. 2020 г.

Really a good course to start off with time series modeling, Thank you Lawrence and Andrew :-)

автор: Souvik M

15 июня 2022 г.

Best course to learn practical application of Sequential Neural Networks on Time Series data.

автор: Gamage O I

11 янв. 2020 г.

This is an good introductory course. It is better if you can grade computer assignments also.

автор: Andrés F G A

2 июня 2021 г.

Good introduction course, mainly thought for technical details rather than the maths behind.

автор: Nicholas P

25 февр. 2021 г.

An excellent "How to do this in practice" follow up to Andrew's Deep Learning Specialization

автор: ABRAR A

17 апр. 2021 г.

thanks, Coursera to provide us a platform for online learning as well deep learning you too

автор: Daniel M

24 сент. 2020 г.

super practical projects which incentivize learning with your own data and projects in mind

автор: Aahelee

2 авг. 2020 г.

Great course!! It could have used a multivariate example to make thing more understandable.

автор: Siddharth C

10 февр. 2020 г.

Amazing and awesome course by coursera ...Lawrence is an amazing tutor with lots of energy.