This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 3. Artem, Dimi, Laszlo, and Paulo chose to use Yelp Review dataset for training an NLP model for classifying provided texts as positive or negative reviews. The data includes reviews on restaurants, museums, hospitals, etc., and the number of stars associated with this review (0–5). Team 3 modeled this task as a binary classification problem: determining whether the review is positive (has >=3 stars) or negative (otherwise). Check the diagram Link here.
In this episode
MLOps Engineer, Neu.ro
Data Scientist, NILG.AI
MLE, Big 4
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.