Machine Learning for Engineering and science applications Week 1 | NPTEL 2026 #nptel2026 #myswayam

The video, titled "Machine Learning for Engineering and science applications Week 1," serves as the inaugural installment for a course series offered by NPTEL. The course addresses the rapid expansion of machine learning applications across engineering and science, catalyzed by increased computational resources and data availability. Machine learning techniques offer tools for automatically detecting patterns within data, facilitating predictions and model development critical for scaling engineering analysis, design, and decision-making processes.

The curriculum is designed to equip engineers with the understanding necessary to apply appropriate machine learning algorithms judiciously. The focus centers on the general heuristics that govern fundamental ML algorithms, contextualized within specific engineering use cases. While Matlab is indicated as the primary tool for instruction, students will also be introduced to related computational frameworks.

This presentation covers introductory material for the subject of machine learning applied to quantitative scientific disciplines.