CBW's Machine Learning Workshops May 25-26, 2021
Offered By: BioinformaticsDotCA via YouTube
Course Description
Overview
Dive into a comprehensive 7-hour workshop series on Machine Learning in Bioinformatics. Explore fundamental concepts and practical applications through lectures and hands-on labs. Begin with an introduction to Machine Learning, then delve into Decision Trees, Neural Networks, and Hidden Markov Models. Apply these techniques to real-world bioinformatics problems, including secondary structure prediction and gene finding. Gain practical experience using popular tools like Keras and Scikit-Learn for machine learning tasks in the field of bioinformatics.
Syllabus
CBW’s Machine LEarning workshop - 01: Introduction to Machine Learning.
CBW’s Machine LEarning workshop - 02: Lecture & Lab: Decision Trees.
CBW’s Machine LEarning workshop - 03: Lecture: Neural Networks.
CBW’s Machine LEarning workshop - 04: Lab Neural Networks for secondary structure.
CBW’s Machine LEarning workshop - 05: Lecture: Hidden Markov Models.
CBW’s Machine LEarning workshop - 06: Lab: Gene Finding with NNs and HMMs.
CBW’s Machine LEarning workshop - 08: Lab: Machine Learning with Keras & Scikit-Learn.
Taught by
BioinformaticsDotCA
Related Courses
Network Analysis in Systems BiologyIcahn School of Medicine at Mount Sinai via Coursera Molecular Dynamics for Computational Discoveries in Science
University of Massachusetts Boston via Independent Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera Python for Informatics: Exploring Information
Open Education by Blackboard Genomic Medicine Gets Personal
Georgetown University via edX