Artificial Intelligence In Bioinformatics

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    No Information
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    /
Next Course
2.0
5,000 Ratings
This course provides an introduction to Artificial Intelligence in Bioinformatics, covering topics such as Machine Learning, Artificial Intelligence, Bioinformatics, Image Analysis and Programming. It is designed to equip students with the knowledge and skills to apply AI techniques to solve problems in the field of Bioinformatics. With this course, students will gain a comprehensive understanding of the fundamentals of AI and its applications in Bioinformatics. Click now to learn more about this exciting field and how to use AI to solve complex problems.
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
This course on Artificial Intelligence in Bioinformatics will provide students with the skills and knowledge to understand and apply machine learning, artificial intelligence, bioinformatics, image analysis, and programming. Students will gain an understanding of the fundamentals of artificial intelligence and machine learning, and how to apply them to bioinformatics. They will also learn how to use image analysis to analyze biological data, and how to program in a variety of languages. Additionally, students will gain an understanding of the principles of bioinformatics and how to use them to analyze and interpret biological data.
Professional Growth:
This course on Artificial Intelligence in Bioinformatics provides a comprehensive overview of the application of Machine Learning, Artificial Intelligence, Bioinformatics, Image Analysis, and Programming to the field of bioinformatics. By taking this course, professionals can gain a better understanding of the various techniques used in bioinformatics and how they can be applied to their own work. This course can help professionals to develop their skills in data analysis, programming, and image analysis, as well as gain a better understanding of the various algorithms used in bioinformatics. Additionally, this course can help professionals to stay up-to-date with the latest developments in the field and to gain a better understanding of the potential applications of Artificial Intelligence in bioinformatics. Ultimately, this course can contribute to professional growth by providing professionals with the knowledge and skills necessary to stay competitive in the field.
Further Education:
This course appears to be suitable for preparing further education, as it covers topics such as Machine Learning, Artificial Intelligence, Bioinformatics, Image Analysis, and Programming. These topics are all relevant to further education in the field of Artificial Intelligence and Bioinformatics.

Course Syllabus

Exploring and Working with Data

Basic Machine Learning Algorithms

Modeling and Predicting

Experimenting with Features + Wrap Up

Application: Heart Attack Probability Mini Project

Show All
Recommended Courses
free genome-sequencing-bioinformatics-ii-2168
Genome Sequencing (Bioinformatics II)
5.0
Coursera 4,436 learners
Learn More
Discover the power of genome sequencing and learn how to apply graph theory and brute force algorithms to assemble genomes and identify antibiotics. Join this course to explore the potential of personalized medicine and learn how to sequence the genome of a deadly Staphylococcus bacterium.
free finding-hidden-messages-in-dna-bioinformatics-i-2169
Finding Hidden Messages in DNA (Bioinformatics I)
4.5
Coursera 5,866 learners
Learn More
Discover the power of computing in modern biology with this top 50 MOOC of all time! Join us on the frontier of bioinformatics to look for hidden messages in DNA and understand the complex language of DNA. Learn to apply randomized algorithms and existing software tools to find recurring biological motifs. Sign up now and start your journey into the world of bioinformatics!
free comparing-genes-proteins-and-genomes-bioinformatics-iii-2170
Comparing Genes Proteins and Genomes (Bioinformatics III)
5.0
Coursera 2,703 learners
Learn More
This course will explore the fascinating world of bioinformatics, teaching you how to compare genes, proteins, and genomes. Learn powerful algorithmic tools such as dynamic programming and combinatorial algorithms to determine the number of mutations that have separated two genes/proteins. Discover how genome rearrangements have shaped the evolution of species, and apply popular bioinformatics software tools to solve sequence alignment problems. Join us and explore the world of bioinformatics!
learn-bioinformatics-from-scratch-theory-practical-2171
Learn Bioinformatics From Scratch (Theory & Practical)
4.2
Udemy 5,661 learners
Learn More
This Bioinformatics course is the perfect way to develop the skills needed to handle the explosion of biological data. It covers five modules, from databases to evolutionary bioinformatics, with a unique blend of theory and practical. With 93 lectures, 19 practical tutorials, 12 assignments and 5 quizzes, this course will give you the knowledge and confidence to tackle the high biological data. After taking this course, you will have a different perspective on biological data and be ready to take on research, academia and industry in the coming years. Don't miss out on this opportunity to learn Bioinformatics from scratch!
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet