| 1. Accelerate Your Bioinformatics Skills With AI.mp4 | 53.5 MB | ||
| 1. ChatGpt and bioinformatics Introduction.mp4 | 53.2 MB | ||
| 1. Intro To Bioinformatics Coding Using Chatbots.mp4 | 28.1 MB | ||
| 1. Introduction to Chatbots.mp4 | 35.3 MB | ||
| 2. Basic Bioinformatics and AI Quiz.html | 204.8 B | ||
| 2. Chabot Assisted Bioinformatics Pipelines.mp4 | 73.4 MB | ||
| 2. Chatbots and Bioinformatics.mp4 | 54.9 MB | ||
| 2. Strategies for Analyzing Research Papers.mp4 | 61.8 MB | ||
| 3. Accelerating Bioinformatics Skills Harnessing the Power of AI.html | 3.8 KB | ||
| 3. Chatbots Architecture.mp4 | 41.7 MB | ||
| 3. Python Bioinformatics Coding.mp4 | 61.7 MB | ||
| 3. Strategies for Effective Analysis of Research Papers Reading and Analyzing.html | 3 KB | ||
| 4. Chatbot-Assisted Bioinformatics Coding Improving Efficiency and Accessibility.html | 3.4 KB | ||
| 4. Effective Prompt Engineering.mp4 | 47.2 MB | ||
| 5. Practical of Prompt Engineering.mp4 | 66.5 MB | ||
| 6. AI tools Use for Bioinformatics Presentations (Practical).mp4 | 79.7 MB | ||
| 7. Prompt engineering in bioinformatics.html | 204.8 B | ||
| 8. Prompt Engineering Advancing Text Classification in Bioinformatics.html | 3.9 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 20 total files | |||
Accelerate Your Bioinformatic Skills with AI (prompt master)
https://DevCourseWeb.com
Published 4/2023
Created by Abdul Rehman Ikram
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lectures ( 1h 32m ) | Size: 657 MB
Introduction to AI and Unlocking the Power of Chatbots (ChatGpt) in Bioinformatics Research (Prompt Engineering)
What you'll learn
An introduction to artificial intelligence and machine learning in bioinformatics.
Familiarity with popular AI-based tools and techniques for bioinformatics analysis.
Understanding of how to use AI to analyze various types of biological data, including genomics, transcriptomics, and proteomics.
Hands-on experience with real-world examples and datasets to apply AI techniques for bioinformatics analysis.
Best practices and considerations for using AI in bioinformatics, including data quality, bias, and ethics.
Strategies for effectively communicating and presenting bioinformatics analysis results.
Requirements
Since this course is designed to be beginner-friendly, there are no strict prerequisites for taking the course. However, students should have a basic understanding of bioinformatics and be familiar with programming concepts, as this will help them understand the material more effectively. Some familiarity with a programming language such as Python will be helpful, but not strictly required.
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