Encord's lead ML engineer, Frederik Hvilshøj, explains the process of training and finetuning a model.

He discusses the dynamics and the need for uncalled data explores the interaction between math and computers, and how we can use data to improve our machine learning models. He explains the concept of labels and loss functions, and why they are crucial in training models. By the end of the video, you will have a clear understanding of how to optimize your models and achieve better results.

0:00 Introduction
0:35 Function and Labels
1:15 Loss Function
2:05 Derivatives and Optimization
3:34 Practical Implementation