| 1. BERT Q&A Introduction.mp4 | 12.1 MB | ||
| 1. BERT Q&A Introduction.srt | 819.2 B | ||
| 1. BONUS Docker Installation.mp4 | 135.4 MB | ||
| 1. BONUS Docker Installation.srt | 15.9 KB | ||
| 1. COVID Dataset data dictionary.html | 307.2 B | ||
| 1. Deployment Overview.mp4 | 21.6 MB | ||
| 1. Deployment Overview.srt | 1.6 KB | ||
| 1. Installing and importing Libraries.mp4 | 1.9 MB | ||
| 1. Installing and importing Libraries.srt | 0 B | ||
| 1. Meet your Instructors.mp4 | 21.4 MB | ||
| 1. Meet your Instructors.srt | 1.4 KB | ||
| 1. Streamlit UI Overview.mp4 | 13.1 MB | ||
| 1. Streamlit UI Overview.srt | 1.2 KB | ||
| 10. BONUS Installing Visual Studio Code.mp4 | 75.6 MB | ||
| 10. BONUS Installing Visual Studio Code.srt | 6.7 KB | ||
| 11. BONUS Working with Virtual Environments.mp4 | 56.7 MB | ||
| 11. BONUS Working with Virtual Environments.srt | 8.2 KB | ||
| 2. Accessing the course dataset.mp4 | 53.7 MB | ||
| 2. Accessing the course dataset.srt | 4.4 KB | ||
| 2. Applications of Deep Learning NLP Q&A Systems.mp4 | 55.9 MB | ||
| 2. Applications of Deep Learning NLP Q&A Systems.srt | 5.6 KB | ||
| 2. Build Docker Image for KB Handler.mp4 | 40.6 MB | ||
| 2. Build Docker Image for KB Handler.srt | 3 KB | ||
| 2. Build Streamlit UI - Part 1.mp4 | 15.2 MB | ||
| 2. Build Streamlit UI - Part 1.srt | 1.6 KB | ||
| 2. Elasticsearch Knowledge base Set up.mp4 | 17.1 MB | ||
| 2. Elasticsearch Knowledge base Set up.srt | 2 KB | ||
| 2. Exploratory Data Analysis.mp4 | 118 MB | ||
| 2. Exploratory Data Analysis.srt | 10.7 KB | ||
| 2. Installing and importing Libraries.mp4 | 39.6 MB | ||
| 2. Installing and importing Libraries.srt | 3.5 KB | ||
| 2. Q&A Handler Walkthrough.mp4 | 46.9 MB | ||
| 2. Q&A Handler Walkthrough.srt | 4.1 KB | ||
| 3. Build Docker Image for QA Handler.mp4 | 146.8 MB | ||
| 3. Build Docker Image for QA Handler.srt | 13 KB | ||
| 3. Build Streamlit UI - Part 2.mp4 | 148.2 MB | ||
| 3. Build Streamlit UI - Part 2.srt | 8.1 KB | ||
| 3. Building a Q&A Pipeline.mp4 | 50.1 MB | ||
| 3. Building a Q&A Pipeline.srt | 3.8 KB | ||
| 3. COVID Q&A system Overview.mp4 | 55.9 MB | ||
| 3. COVID Q&A system Overview.srt | 6.1 KB | ||
| 3. Downloading Elasticsearch Docker.mp4 | 69.6 MB | ||
| 3. Downloading Elasticsearch Docker.srt | 6.3 KB | ||
| 3. Downloading the COVID dataset.mp4 | 89.4 MB | ||
| 3. Downloading the COVID dataset.srt | 7 KB | ||
| 3. Merging the datasets.mp4 | 75.3 MB | ||
| 3. Merging the datasets.srt | 6.4 KB | ||
| 3. Word Cloud Analysis.mp4 | 110.7 MB | ||
| 3. Word Cloud Analysis.srt | 9.7 KB | ||
| 4. Build Docker Image for UI App.mp4 | 123.2 MB | ||
| 4. Build Docker Image for UI App.srt | 8.9 KB | ||
| 4. Build Streamlit UI - Part 3.mp4 | 75.3 MB | ||
| 4. Build Streamlit UI - Part 3.srt | 4.5 KB | ||
| 4. COVID Q&A - Architecture Design Walkthrough.mp4 | 56.5 MB | ||
| 4. COVID Q&A - Architecture Design Walkthrough.srt | 5.5 KB | ||
| 4. Data Pre-Processing - Part 1.mp4 | 119.4 MB | ||
| 4. Data Pre-Processing - Part 1.srt | 8.7 KB | ||
| 4. Deploy Q&A handler in FastAPI.mp4 | 32.5 MB | ||
| 4. Deploy Q&A handler in FastAPI.srt | 2.6 KB | ||
| 4. Reading the Dataset - Part 1.mp4 | 110.7 MB | ||
| 4. Reading the Dataset - Part 1.srt | 7.5 KB | ||
| 4. Topic Modeling.mp4 | 211.6 MB | ||
| 4. Topic Modeling.srt | 19.5 KB | ||
| 4. Writing data to Elasticsearch.mp4 | 141.9 MB | ||
| 4. Writing data to Elasticsearch.srt | 11 KB | ||
| 5. BONUS Additional Resources.html | 1.9 KB | ||
| 5. BONUS BERT NLP Q&A Reference Materials.html | 1.5 KB | ||
| 5. Build Streamlit UI - Part 4.mp4 | 133.5 MB | ||
| 5. Build Streamlit UI - Part 4.srt | 7 KB | ||
| 5. Data Pre-Processing - Part 2.mp4 | 133.9 MB | ||
| 5. Data Pre-Processing - Part 2.srt | 10.3 KB | ||
| 5. Elasticsearch Knowledge base conclusion.mp4 | 11.6 MB | ||
| 5. Elasticsearch Knowledge base conclusion.srt | 819.2 B | ||
| 5. GET ALL THE CODES AND DATASETS HERE!.html | 819.2 B | ||
| 5. Reading the Dataset - Part 2.mp4 | 249.3 MB | ||
| 5. Reading the Dataset - Part 2.srt | 14.2 KB | ||
| 6. BONUS Additional Resources.html | 819.2 B | ||
| 6. Presentation of the COVID QA Course Folder.mp4 | 8.7 MB | ||
| 6. Presentation of the COVID QA Course Folder.srt | 1.9 KB | ||
| 6. Sampling and saving the course dataset.mp4 | 108.6 MB | ||
| 6. Sampling and saving the course dataset.srt | 6.7 KB | ||
| 7. MAC , LINUX AND WINDOWS SET UP.mp4 | 39 MB | ||
| 7. MAC , LINUX AND WINDOWS SET UP.srt | 3.4 KB | ||
| 8. JOIN OUR SLACK CHANNEL.html | 512 B | ||
| 9. BONUS Google Collaboratory Notebook Introduction.mp4 | 56.6 MB | ||
| 9. BONUS Google Collaboratory Notebook Introduction.srt | 9.7 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 90 total files | |||
Deep Learning NLP: Build and Deploy a BERT COVID Q&A System
https://DevCourseWeb.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 3.04 GB | Duration: 4h 45m
Build and deploy a COVID-19 Question Answering system using Artificial Intelligence and NLP.
What you'll learn
Develop a BERT Q&A system that provides real-time answers from over 200,000 COVID research papers
Accessing and pre-processing the COVID dataset
Perform Exploratory data analysis and Topic modelling on the COVID dataset
Create an indexed database of COVID research text in Elasticsearch
Build an algorithm that retrieves and ranks candidate documents from Elasticsearch
Develop the BERT Q&A Engine
Build End point creation with fast API
Building a simple UI with Streamlit
Dockerize and deploy models
Working with google colab and Visual studio code
Description
If you are interested to learn about NLP and looking to work on one of the biggest real world NLP projects, then this course is for you.
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| 582.4 MB | freecoursewb | 6 months | 0 | 0 | |
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