Sequence Models for Time Series and Natural Language Processing

This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where "Machine Learning on GCP" left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended

Created by: Google Cloud Training

icon
Quality Score

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 80 / 100

icon
Live Chat with CourseDuck's Co-Founder for Help

Need help deciding on a google analytics course? Or looking for more detail on Google Cloud Training's Sequence Models for Time Series and Natural Language Processing? Feel free to chat below.
Join CourseDuck's Online Learning Discord Community

icon
Course Description

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 problemsYou 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 TensorFlowCOMPLETION CHALLENGEComplete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.

icon
Instructor Details

Google Cloud Training

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.

icon
Reviews

4.0

90 total reviews

5 star 4 star 3 star 2 star 1 star
% Complete
% Complete
% Complete
% Complete
% Complete

By vincent p on 24-Feb-19

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

By Yunwei H on 20-Feb-19

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

By Harold L M M on 25-Nov-18

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.

By Temuge B on 26-Apr-19

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.

By Maxim on 5-Jul-19

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

By Arindam G on 20-Dec-18

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 TopicsI would love to thank all the INSTRUCTORS who created such a Awesome Content for us. My Personal Ratings For All the Instructors: 100 / 100

By Jun W on 11-Nov-18

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

By Jakub B on 26-Jun-19

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.

By Elias P on 4-Dec-18

I really loved it!

By Raja R G on 11-Dec-18

Good

By ELINGUI P U on 27-Jan-19

Great one!

By Mark D on 3-Feb-19

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