Applied Machine Learning in Biomedical Informatics
Academic Noncredit

This course suits bioinformatics and data science tracks. It develops the student conceptual and applied insights to extract knowledge from biomedical datasets and tackle known modeling and data challenges. The course covers two main parts: most traditional machine learning methods and deep learning essentials. Although the course teaches the fundamental mathematics and statistical aspects behind each learning algorithm, it emphasizes on how to develop and validate baseline and optimal models for practical biomedical applications. During the processes of developing and validating models, students will learn to interpret results properly and conduct an effective error analysis. Students will learn how to use the error analysis results to tune the learning algorithms for mitigating modeling and data challenges.

This noncredit class meets with a regular University of Utah credit course.

Questions? Call Academic Programs at 801-585-9963 or use our online form.

Class Sections For Applied Machine Learning in Biomedical Informatics (BMI 615)

Fall 2021 Section 1, Starting on: 08/23/2021

Contact Samir.abdelrahman@utah.edu for a permission code.

Date(s) Day Time Location
08/23/21 - 12/09/21 MW 5:00 pm -6:30 pm 421 WA 1016
Tuition: $500.00      

Instructor: SAMIR ABDELRAHMAN

ADD TO CART ONLY 4 SEATS LEFT!

Questions? Call Academic Programs at 801-585-9963 or use our online form.

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