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Sequence Models for Time Series and Natural Language Processing

Sequence Models for Time Series and Natural Language Processing

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8.4/10 (Our Score)
Product is rated as #152 in category Machine Learning

This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. – Predict future values of a time–series – Classify free form text – Address time–series and text problems with recurrent neural networks – Choose between RNNs/LSTMs and simpler models – Train and reuse word embeddings in text problems You will get hands–on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together. Prerequisites: Basic SQL, familiarity with Python and TensorFlow

Instructor Details

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Specification: Sequence Models for Time Series and Natural Language Processing

Duration 13 hours
Year 2018
Level Expert
Certificate Yes
Quizzes Yes

33 reviews for Sequence Models for Time Series and Natural Language Processing

4.1 out of 5
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  1. Avatar

    Jason C

    Quite a challenging course so far.

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  2. Avatar

    Jun W

    Excellent course for those who know RNN. Knowledge is refreshed and techniques are consolidated. More details about Google ecosystem is introduced.

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  3. Avatar

    Harold L M M

    This was a very interesting course on NLP and Time Series. My only concern is that some notebooks worked for python 2 mode and not for python 3. Also, the tensor 2 tensor lab could not be completed in 2 hours, as some of the training may take more than 3 hours to complete. Overall, good information, great technology and great teachers. Thank you.

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  4. Avatar

    Hemant D K

    Very informative, very much useful to my ongoing work on NLP.

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  5. Avatar

    Elias P

    I really loved it!

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  6. Avatar

    Raja R G

    Good

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  7. Avatar

    Arindam G

    No Doubt COURSERA is always best AND MNC like IBM,Google courses associated with coursera are MIND BLOWING. The Instructors are so great at Explanation Part that hardly anyone won’t Understand All the Topics I would love to thank all the INSTRUCTORS who created such a Awesome Content for us. My Personal Ratings For All the Instructors: 100 / 100

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  8. Avatar

    ELINGUI P U

    Great one!

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  9. Avatar

    Carlos V

    Excellent Sequence Models explanations and examples to learn from, I quite enjoyed all the fantastic tips and best practices recommended by Google, looking forward to the next course in the specialization.

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  10. Avatar

    Mark D

    Very good.The explanation of the RNN was very good but the tensor2tensor was very hard.

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  11. Avatar

    Yunwei H

    Too focused on GCP. Could be more on DL itself.

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  12. Avatar

    vincent p

    Several exercices do not work as described, with error messages. Explanations of what we are doing are light.

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  13. Avatar

    Nguyen V L

    pretty great

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  14. Avatar

    Temuge B

    Videos were too short. Explanations of the key concepts were really poor. Quiz in week 1 had error that was raised by the user 6 months ago and it is still not fixed. Coding section had library mismatch that led to errors. The presentation of the materials were good.

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  15. Avatar

    Armando F

    Lot’s of good information. I cannot wait to start using this knowledge. Thank you!

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  16. Avatar

    Marios N

    Very helpful but needs more in depth detail how attention works, how encoder/decoder trains and makes predictions

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  17. Avatar

    Jakub B

    Subscribing to this course only gives you option to run assignments on Qwik labs, and they’re very poor for these kinds of assignments. You won’t get any feedback on assignments anyway since there is no grader. If you want to check out the material it’s better to just clone training data analyst from github and do these assignments on GCP free tier.

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  18. Avatar

    Maxim

    One star, but not to content. But because the course don’t have “Audit” option. It’s mean that after subscription ended and you received certificate, You can’t more access to video material in course. When subscription active, You can use mobile application and download video material for studying offline. Before yours subscription ended, copy video material to safe place for later review. p.s. But the course content deserves a higher mark 4 5 stars. As others courses in this specialization

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  19. Avatar

    borja v

    Complex but interesting

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  20. Avatar

    Harsh S

    Though not focused on fundamental concepts, it’s a great course to learn to use tensorflow and google cloud platform for sequence modelling.

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  21. Avatar

    Soroush A

    lecturer talks too fast and not easy to understand. This topic was one of my favorites.

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  22. Avatar

    Putcha L N R

    Great way to practically learn a lot of stuff. Sometimes, a lot of it starts to go over head. But, it is completely worth the learning curve! Definitely recommend it!

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  23. Avatar

    Ayman S

    I like it because it is very relevant to my work. The dialogflow part is a bit weak. I am not sure if it is the product or the course.

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  24. Avatar

    Silviu M

    The content is amazing and some of the implementations are really awesome! I am not a programmer but this course opened me the eyes to see how many business opportunities are there to use data for AI, in new products and services

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  25. Avatar

    Wayne R

    Excellent coverage of a complex topic

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  26. Avatar

    Bablesh S

    Good Course with enough practical exercises to get some hands on experience.

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  27. Avatar

    Serg D

    Maybe this course was too advanced for me. I did the other course on tf and that felt too easy. This was unreasonably hard. There was no explanations at all before labs and there were like 5 labs a week. how are we supposed to do them? i skipped nlp entirely, because i could not follow it at all due to zero guidance and explanations. The only skill i got from this course was to copy code from internet, but i could do it before

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  28. Avatar

    ssen advanced

    The chinese intonation and pronunciation was uncomfortable

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  29. Avatar

    Mahendra S C

    Awesome course, Great tutors they teach tough topics very easily like RNN(LSTM, GRU), Encode Decoder and attention.

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  30. Avatar

    Navid K

    Amazing course, I also took a bunch of other Deep learning and specially Sequence Modelling courses from other renown instructors and institutions. However, this is so far the best. better than all of them. 1 Very well structured 2 Fairly advanced in contents and techniques 3 Reasonably challenging. 4 Full free access for a trial period ( not all courses offer that) 5 Access to GCP for free Amazing course, well done Google

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  31. Avatar

    Deepika

    Felt somewhat advanced learning, which made tough to complete intime

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  32. Avatar

    Nebojsa D

    I have only one remark, please improve lesson regarding NLP by includin model build etc. Otherwise course is excellent and was helpful for me

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  33. Avatar

    Mahmmoud M

    A Very powerful course Thanks for all google team

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    Sequence Models for Time Series and Natural Language Processing
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