From the perspective of using machine learning and deep learning in the field, this lecture broadened my frame of mind so that I could expand my career from being a 'developer' who uses existing well-structured models, to a 'researcher'. I was able to follow along well without missing the details of the mathematical part, and I was also able to understand the process of integrating this into actual implementation code. I hope that you will launch a lecture that goes beyond this lecture and covers representative papers such as BERT or GPT, or widely known techniques in model development.