Ideas on Conducting Experiments in AI and ML
Offered By: Neuro Symbolic via YouTube
Course Description
Overview
Explore various types of experiments conducted in Artificial Intelligence and Machine Learning in this 25-minute lecture from Arizona State University's CSE 598 course. Gain insights into experimental methodologies used in AI and ML research, understanding their importance in advancing the field. Learn about different approaches to designing and implementing experiments, data collection techniques, and analysis methods specific to AI and ML studies. Discover how researchers validate their hypotheses, evaluate model performance, and draw meaningful conclusions from their experimental results. This lecture provides valuable knowledge for students, researchers, and professionals looking to enhance their understanding of experimental practices in the rapidly evolving domains of AI and ML.
Syllabus
Ideas on Conducting Experiments in AI and ML
Taught by
Neuro Symbolic
Related Courses
The Data Scientist’s ToolboxJohns Hopkins University via Coursera MARS2014-1x: Metabolic Applied Research Strategy
Ethicon via Independent Experimentation for Improvement
McMaster University via Coursera Molecular Biology - Part 1: DNA Replication and Repair
Massachusetts Institute of Technology via edX Introduction to Linear Models and Matrix Algebra
Harvard University via edX