Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers topics in Quantum Chemistry, including history, tools, color & draw techniques, shapes, and mathematical conversions.
Covers the fundamentals of spectroscopy, including tools and techniques used for internal conversion and vibrational relaxation.
Covers the fundamentals of spectroscopy, including tools, color, Doppler effect, and molecular behavior.
