How Random Forests make predictions

Описание к видео How Random Forests make predictions

Learn how a Random Forest works, when to use them, and what to consider. Follow along as Google Developer Advocate Gus Martins shares an example of training a random forest using TensorFlow Decision Forests. He also covers, pros and cons of Random Forests, Bootstrap Aggregating, and more.

Resources:
Follow along with the TF-DF Colab tutorial → https://goo.gle/3tRmKK1
Google Developers Decision Forests Course → https://goo.gle/DecisionForestsCourse
TensorFlow Decision Forests Documentation → https://goo.gle/TFDFdocs
Learn more about the palmerpenguins dataset → https://goo.gle/406LwlJ
Ask questions on the TensorFlow forum → https://goo.gle/3Iy2uBc

Watch more ML Tech Talks → https://goo.gle/ml-tech-talks
Subscribe to TensorFlow → https://goo.gle/TensorFlow

#MachineLearning #ML #TensorFlow

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