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.
Overview
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
