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⭐️ Check out our website https://www.cognito.org/ ⭐️ *** WHAT'S COVERED *** 1. Understanding gradient as a measure of how steep a line is. * Positive, negative, and zero gradients explained. 2. Calculating the gradient of a straight line from a graph. 3. Three different methods for finding the gradient: * Method 1: Finding the vertical ...
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Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks us through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost. Watch the full episode here: https://bit.ly/sds771 Thank you to Ready Tensor and Data Universe, for supporting this ep
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Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks us through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost. Watch the full episode here: https://bit.ly/sds771 Thank you to Ready Tensor and Data Universe, for supporting this ep
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