Introduction to ML - MACHINE LEARNING FOR BIOMEDICAL DRUG DISCOVERY
This program (14 Jun - 12 Jul 2021) is designed to address the challenges associated with the rapid growth of high-throughput data, including -omics technologies, which gave rise to data-driven discovery in life sciences. As a result, there is a significant demand for data science skills and experience with bioinformatics methods of analysis. Once a peripheral discipline you could easily outsource, bioinformatics is quickly becoming mainstream in life science research. Many high-impact journals will only publish if a rigorous bioinformatics analysis is included in the results and methods portions of the publication. In this course, we will explain the logic of bioinformatics analysis and allow for user-friendly applications of bio-statistical and machine learning techniques to a variety of biomedical challenges.
This program is designed for Life Sciences students & Beginners interested in data-driven research questions. The program will include aspects of data science, such as data wrangling, visualization, statistical analysis, and machine learning.
https://learn.omicslogic.com/programs...
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