Master the Bias-Variance Tradeoff: Simplified Explanation & Key Insights π
Discover what bias and variance are, and learn how balancing them is crucial for building effective machine learning models. Perfect for beginners and enthusiasts alike!

CodeEmporium
7.4K views β’ Nov 21, 2022

About this video
What is Bias? What is the tradeoff between bias and variance? These questions and more answered today!
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RESOURCES
[1] What are estimators? https://en.wikipedia.org/wiki/Estimator#Quantified_properties
[2] The importance of Mean Squared Error and it's bias-variance decomposition: https://en.wikipedia.org/wiki/Mean_squared_error
[3] Unbiased Estimators: https://en.wikipedia.org/wiki/Bias_of_an_estimator
[4] Bias Variance Tradeoff: https://en.wikipedia.org/wiki/Biasβvariance_tradeoff#Biasβvariance_decomposition_of_mean_squared_error
[X] More resources on bias-variance decomposition: http://rasbt.github.io/mlxtend/user_guide/evaluate/bias_variance_decomp/
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π Statistics for Data Science: https://imp.i384100.net/AdvancedStatistics
π Bayesian Statistics: https://imp.i384100.net/BayesianStatistics
π Linear Algebra: https://imp.i384100.net/LinearAlgebra
π Probability: https://imp.i384100.net/Probability
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π Machine Learning in Production: https://imp.i384100.net/MLProduction
π Data Science Specialization: https://imp.i384100.net/DataScience
π Tensorflow: https://imp.i384100.net/Tensorflow
ABOUT ME
β Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1
π Medium Blog: https://medium.com/@dataemporium
π» Github: https://github.com/ajhalthor
π LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb/
RESOURCES
[1] What are estimators? https://en.wikipedia.org/wiki/Estimator#Quantified_properties
[2] The importance of Mean Squared Error and it's bias-variance decomposition: https://en.wikipedia.org/wiki/Mean_squared_error
[3] Unbiased Estimators: https://en.wikipedia.org/wiki/Bias_of_an_estimator
[4] Bias Variance Tradeoff: https://en.wikipedia.org/wiki/Biasβvariance_tradeoff#Biasβvariance_decomposition_of_mean_squared_error
[X] More resources on bias-variance decomposition: http://rasbt.github.io/mlxtend/user_guide/evaluate/bias_variance_decomp/
MATH COURSES (7 day free trial)
π Mathematics for Machine Learning: https://imp.i384100.net/MathML
π Calculus: https://imp.i384100.net/Calculus
π Statistics for Data Science: https://imp.i384100.net/AdvancedStatistics
π Bayesian Statistics: https://imp.i384100.net/BayesianStatistics
π Linear Algebra: https://imp.i384100.net/LinearAlgebra
π Probability: https://imp.i384100.net/Probability
OTHER RELATED COURSES (7 day free trial)
π β Deep Learning Specialization: https://imp.i384100.net/Deep-Learning
π Python for Everybody: https://imp.i384100.net/python
π MLOps Course: https://imp.i384100.net/MLOps
π Natural Language Processing (NLP): https://imp.i384100.net/NLP
π Machine Learning in Production: https://imp.i384100.net/MLProduction
π Data Science Specialization: https://imp.i384100.net/DataScience
π Tensorflow: https://imp.i384100.net/Tensorflow
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Video Information
Views
7.4K
Likes
214
Duration
9:45
Published
Nov 21, 2022
User Reviews
4.6
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