The statquest illustrated guide to machine learning

By: Material type: TextTextPublication details: North Carolina : Joshua Starmer, ©2022Description: 304 p. : col. ill. ; 23 cmISBN:
  • 9798986924021
Subject(s): DDC classification:
  • 006.31 STA-S
Contents:
1. Fundamental Concepts in Machine Learning!!! 2. Cross Validation!!! 3. Fundamental Concepts in Statistics!!! 4. Linear Regression!!! 5. Gradient Descent!!! 6. Logistic Regression!!! 7. Naive Bayes!!! 8. Assessing Model Performance!!! 9. Preventing Overfitting with Regularization!!! 10. Decision Trees!!! 11. Support Vector Classifiers and Machines (SVMs)!!! 12. Neural Networks!!!
List(s) this item appears in: Machine Learning
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books IIITD Reference Computer Science and Engineering CB 006.31 STA-S (Browse shelf(Opens below)) Checked out DBT Project Grant 19/09/2024 012690
Total holds: 0

1. Fundamental Concepts in Machine Learning!!! 2. Cross Validation!!! 3. Fundamental Concepts in Statistics!!! 4. Linear Regression!!! 5. Gradient Descent!!! 6. Logistic Regression!!! 7. Naive Bayes!!! 8. Assessing Model Performance!!! 9. Preventing Overfitting with Regularization!!! 10. Decision Trees!!! 11. Support Vector Classifiers and Machines (SVMs)!!! 12. Neural Networks!!!

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