Mlearning.ai

MAY 23, 2023

The following figure represents the life cycle of data science. It starts with gathering the business requirements and relevant data. Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Why is data cleaning crucial?

Data Science 52

Data Science Decision Trees Deep Learning Deep Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. He has collaborated with the Amazon Machine Learning Solutions Lab in providing clean data for them to work with as well as providing domain knowledge about the data itself.

ML 66

ML ML Machine Learning Machine Learning 66

Snorkel AI

APRIL 28, 2023

You can approximate your machine learning training components into some simpler classifiers—for example, a k-nearest neighbors classifier. Here’s one application where you have a 100% clean data set that also has some fairness issues, meaning that if you clean up the whole dataset, the model could be unfair.

ML 52

ML ML Machine Learning Machine Learning 52

Snorkel AI

APRIL 28, 2023

You can approximate your machine learning training components into some simpler classifiers—for example, a k-nearest neighbors classifier. Here’s one application where you have a 100% clean data set that also has some fairness issues, meaning that if you clean up the whole dataset, the model could be unfair.

ML 52

ML ML Machine Learning Machine Learning 52