Posted by Yossi Matias, Vice President and Ehud Rivlin, Research Scientist, Google Research With the increasing ability to consistently a... (more…)

Part 1: Collecting Data From Weather Underground This is the first article of a multi-part series on using Python and Machine Learning to build models to predict weather temperatures based off data collected from Weather Underground. The series will be co... (more…)

Our main aim from the project is to make use of pandas, matplotlib, etc in Python to calculate the %rate for calculating Loan Prediction. (more…)

First introduced by Uber Engineering in January 2019, Manifold is a visual debugging tool that enables users to quickly identify performance issues in machine learning models. (more…)

A number of techniques have been proposed to explain a machine learning model's prediction by attributing it to the corresponding input features. Popular among these are techniques that apply the Shapley value method from cooperative game theory. While ex... (more…)