About Yusuf Sarıgöz
Yusuf Sarıgöz is an author known for his contributions to several technical articles focused on machine learning and anomaly detection.
Known information
Yusuf Sarıgöz is a distinguished author who has made significant contributions to the field of machine learning. He has authored and contributed to a variety of articles that explore advanced concepts in the domain. His works include ‘Layer Recycling and Fine-tuning Efficiency,’ which discusses optimizing machine learning processes, and ‘Fine Tuning Similar Cars Search,’ which delves into the specifics of machine learning applications in vehicle recognition. Additionally, Sarıgöz has contributed to ‘Metric Learning for Anomaly Detection,’ focusing on identifying irregularities in data, and ‘Triplet Loss - Advanced Intro,’ an article that provides a deep dive into a specific machine learning loss function used for training based on the comparison of relative similarities.
About Qdrant
Qdrant is a company that provides a vector database and similarity search engine, supporting AI applications with advanced search technologies and a variety of data types.