We will raffle for 5 copies of the book. For the 5 winners: hard copy ship to you if you are within USA; e-copy if you are outside of USA).
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive.
Using Weak Supervision, you can programmatically label your datasets, and get moving with your ML projects.
During this talk, you will learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab.