I have been attending deeplearning.ai’s specialization courses for a while, and I’ve completed the second part of the series this week. In this course, Prof Andrew Ng shares his experiences and best practices to build efficient machine learning pipelines. Although there is not any programming assignment in the course syllabus, there are 2 case studies that are very close to real-world experiments, and it is expected to give the right decisions on these scenarios. I strongly recommend practicing this short training.
Reading Time: 1 minute