Master Bias & Variance in Machine Learning for Better Models πŸ“Š

Learn the essential concepts of bias and variance in machine learning. Understand how these factors impact your models and improve your data science skills with this comprehensive guide.

Master Bias & Variance in Machine Learning for Better Models πŸ“Š
AssemblyAI
31.0K views β€’ Jan 10, 2022
Master Bias & Variance in Machine Learning for Better Models πŸ“Š

About this video

Do you know what bias and variance are? These are some of the key concepts of data science. Although crucial to know, it is not always easy for even data scientists to understand these concepts clearly. So in this video, we will go through the explanations of both bias and variance, basing their definition on logical ground.

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We will learn the implication of high bias and high variance and also how to address the issues created by high bias and high variance, namely underfitting and overfitting. We will talk about the bias-variance trade-off and why it is not as big of an issue as it used to be anymore.

The b-roll video is from: Ketut Subiyanto (https://www.pexels.com/@ketut-subiyanto?utm_content=attributionCopyText&utm_medium=referral&utm_source=pexels) found on Pexels (https://www.pexels.com/video/video-of-woman-writing-on-glass-4630097/?utm_content=attributionCopyText&utm_medium=referral&utm_source=pexels)

Video Information

Views

31.0K

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1.1K

Duration

7:15

Published

Jan 10, 2022

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