Learn ChatGPT for bioinformatics and Prompt Engineering

本课程《AI与ChatGPT在生物信息学中的应用：从入门到实践》面向希望提升研究效率与数据分析能力的生物信息学研究者、学生和行业从业者，带你掌握如何将ChatGPT等NLP工具应用于基因组学、转录组学、蛋白质组学等实际科研场景中。无需编程背景，具备基础生信知识即可快速上手。课程结合实操演练与研究导向内容，助你用生成式AI提升科研效率与洞察力。立即加入，开启你的AI生信研究新篇章！

你将学习：

AI与机器学习在生物信息学中的基本原理
ChatGPT在文献分析、基因注释、数据可视化等任务中的应用
如何用提示词工程高效驱动生物数据分析
实战案例：使用真实数据集进行分析与解读
生物信息学中的AI伦理、安全性与数据偏倚问题

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教程名称：Learn ChatGPT for bioinformatics and Prompt Engineering

下载连结：https://www.nidown.com/chatgpt-0482.html

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英文原版介绍

Published 5/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 24m | Size: 671 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 ChatGpt 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.