Lectures related to Manufacturing Operations at Johnson & Johnson

Machine Learning: Supervised and Unsupervised Learning Techniques

Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.

Recursion and Binary Search

Introduces recursion and binary search algorithms for efficient problem-solving.

Predicting Reaction Yields with Deep Learning

Explores predicting reaction yields with deep learning models and the importance of high-quality data sets in chemistry.

Complexity Classes: Introduction and Examples

Introduces complexity classes, including P and NP, and explores examples of easy and hard problems.

Safe Learning in Robotics: Quo Vadis?

Explores safe learning in robotics, covering the state of the art, open challenges, and vision in the field, emphasizing the importance of interdisciplinary collaboration.

Curse of Dimensionality in Deep Learning

Delves into the challenges of deep learning, exploring dimensionality, performance, and overfitting phenomena in neural networks.

Design Thinking as methodology

Covers Design Thinking methodology, emphasizing empathy, problem definition, ideation, prototyping, and testing for user-centered solutions.