Backstory
I was first made aware of Coursera’s Guided Project when I received an email from them. Out of curiosity, I wanted to check them out, just to see if they can help with my learning. On their page, they cover projects on data science, business, and computer science in general. I was exploring through what they had to offer for data science and chanced upon “Named Entity Recognition using LSTMs in Keras” Guided Project. This will offer me two things, one is learn Named Entity Recognition and two is an experience in Guided Projects.
I’ll be going through the following sections:
- Price
- Time
- Conduct
- My own experience
- My thoughts
Price
Cost of Guided Project [1]
For USD$9.99, it is reasonable for a 1.5 hours guided lesson with access to a GPU enabled environment in this case.
Time
Summary of Guided Project [1]
For an approximately 1.5 hours of lesson, I believe the learning content and knowledge takeaways should be sizeable and would not have much theory involved. The lessons are fully hands-on practical sessions. However, it is recommended to have some prerequisites such as Python programming and neural network knowledge in this case.
Conduct
How Guided Projects work [1]
The guided project sessions are conducted via Rhyme. Rhyme is Coursera’s platform for the learner to have hands-on practice in their browser. The tools required are installed on their cloud desktop. When logged in, the learner will see two segments, one for their workspace and the other a video tutorial from the instructor.
My Experience
I decided to give this a shot as my job requires me to apply Named Entity Recognition (NER) in our use cases.
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