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Published 5/2024
MP4 | Video: h264, 1280x720 | 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.
Description
Accelerate Your Bioinformatics Research with Cutting-Edge NLP Tools: NLP for Bioinformatics Using ChatGPTDiscover how to maximize efficiency and gain valuable insights in your bioinformatics research through our comprehensive online course, "NLP for Bioinformatics: Using ChatGPT to Maximize Efficiency and Insight." Learn to leverage ChatGPT, a cutting-edge natural language processing (NLP) tool, and revolutionize your data analysis and interpretation in the face of exponential biological data growth.This course provides the knowledge and skills necessary to harness the power of ChatGPT for various bioinformatics applications, including literature analysis, gene annotation, and data visualization. Gain practical guidance on utilizing ChatGPT while exploring broader topics such as deep learning, neural networks, and NLP techniques.Embark on a journey across seven sections, beginning with a comprehensive introduction to ChatGPT and its potential applications in bioinformatics research. Dive into specific use cases, including literature search and summarization, scientific paper analysis, gene annotation and identification, and data analysis and visualization.Real-world examples and case studies illuminate the practical value of ChatGPT in bioinformatics research. Engage in interactive exercises and assessments to reinforce your understanding and application of the course material.Ethical considerations and best practices for utilizing ChatGPT effectively in bioinformatics research are also emphasized. Acquire an awareness of potential biases and limitations of NLP tools, along with strategies to overcome these challenges.By course completion, you will possess the knowledge and skills to harness the full potential of ChatGPT as a powerful tool in your bioinformatics research. Whether you're a researcher, student, or industry professional, this course provides the competitive edge necessary to excel in your field.Join leading experts in bioinformatics and NLP for an enriching learning experience. Don't miss out on the opportunity to accelerate your research with ChatGPT. Enroll in our course today and unlock the full potential of NLP in bioinformatics!
Who this course is for
Students and researchers in the life sciences who are interested in applying AI to their research and data analysis tasks.
Bioinformatics professionals who want to expand their skill set and stay up-to-date with the latest AI-based tools and techniques.
Data scientists who want to specialize in bioinformatics and genomics analysis using AI techniques.
Anyone with a general interest in bioinformatics and AI who wants to learn more about these fields and their intersection.
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Screenshots
https://k2s.cc/file/acb748e3723d7 https://rapidgator.net/file/19f8ef263be8e1b6ab949bae0a1f2138/Learn_ChatGPT_for_bioinformatics_and_Prompt_Engineering.rar.html
